<![CDATA[Human-Robot Teaming]]>099b3a90-b105-5e2e-b54a-93e0bf53f91cWed, 26 Aug 2026 07:00:21 +0000Captivate.fmUniversitetet i Agderhttps://artwork.captivate.fm/a2d861fd-2a10-48d5-ae4d-9e2c91b5348c/Among-Us-Human-Robot-Teaming-selected.jpgHuman-Robot TeamingUniversitetet i AgderUniversitetet i AgderRobots are no longer confined to factories or research labs. They are in our hospitals, our industries, our public spaces, and increasingly, in our homes. Among Us: Human-Robot Teaming is a podcast exploring what happens when humans and intelligent machines work together. Hosted by Professor Filippo Sanfilippo, this series brings together leading international researchers, engineers, innovators, and thinkers to discuss the technical, cognitive, ethical, and societal dimensions for different levels of human-robot collaboration. Each episode dives into the challenges and opportunities of designing robotic systems that are not just autonomous but collaborative. This is not about science fiction. It is about trust, shared control, responsibility, and the future of teamwork. Through thoughtful, coffee-style conversations, the podcast highlights cutting-edge research while making complex ideas accessible to students, academics, industry professionals, and anyone curious about how intelligent systems are reshaping our world. Because robots are no longer tools at the margins. They are among us.https://human-robot-teaming.captivate.fmfalseepisodicnopodcastWhy Touch Is the Missing Language of Human-Robot TeamingWhy Touch Is the Missing Language of Human-Robot TeamingIn this episode, Filippo Sanfilippo is joined by Claudio Pacchierotti, a CNRS researcher at IRISA and an expert in haptics, wearable interfaces, robotic teleoperation, and shared control. They explore how touch can become a communication channel between humans and machines, and why haptic feedback matters for safer, more intuitive human-robot teaming.We discuss how autonomy can shift fluidly between humans and robots depending on task difficulty, confidence, and environmental uncertainty, plus where wearable haptics are heading next and which applications stand to benefit most.

Key topics
  • Filippo Sanfilippo introduces human-robot teaming as the next step beyond human-robot interaction and collaboration, where humans and robots share space, forces, and decisions.
  • Claudio explains haptics as a communication channel that adds a physical layer to human-machine interaction, making control more natural and safe.
  • We discuss why touch is still underexplored compared with vision and audio, even though it becomes critical when humans and robots physically interact.
  • Claudio describes shared control and shifting autonomy, where the robot takes on more or less of the task depending on confidence, task difficulty, and sensor quality.
  • The episode looks at how haptic feedback supports situational awareness without overloading the visual channel.
  • Claudio explains why wearable haptics matter for teleoperation and training, especially when natural dexterity must be preserved.
  • We discuss cutaneous haptics such as vibration, skin stretch, pressure, and temperature, and how these can be combined with vision and audio.
  • Claudio highlights practical application areas including drone fleets, humanoid robots, hospitals, logistics, medicine, space, defense, delivery, and factories.
  • The conversation closes on the idea of human-centered robotics, where robots empower humans rather than replace them.

Timestamps

00:00 - Introducing Claudio Pacchierotti and the idea of human-robot teaming

00:32 - Claudio’s background in haptics, wearable interfaces, and shared control

01:31 - Why touch matters in human-machine interaction

03:05 - From human-robot collaboration to shared space, forces, and decisions

04:09 - Haptics as a communication channel between humans and robots

06:26 - Shared control for complex systems like humanoid robots and drone fleets

08:26 - How haptic feedback improves situational awareness during control

09:56 - Why touch can convey physical and abstract information without visual overload

11:15 - Shifting autonomy based on task difficulty and confidence

13:10 - Using shifting autonomy for training and complex robotic systems

15:17 - Cutaneous haptics, safe teleoperation, and keeping dexterity intact

17:22 - Combining vibration, pressure, skin stretch, and temperature

18:48 - Where human-robot teaming matters most in real-world applications

21:05 - Better actuators, sensors, algorithms, and haptic interfaces for teaming

23:13 - Why rich feedback improves trust, acceptance, and collaboration

24:56 - “Just enough haptics” and the future of wearable interfaces

27:12 - Human-centered robotics that empower rather than replace people

30:07 - Why the field is broad, multidisciplinary, and still expanding

Notable quotes

“Haptics as a way of communication between humans and cyber-physical systems.”

“We believe in robots that can empower humans, not replace humans.”

“Just enough haptics.”

]]>In this episode, Filippo Sanfilippo is joined by Claudio Pacchierotti, a CNRS researcher at IRISA and an expert in haptics, wearable interfaces, robotic teleoperation, and shared control. They explore how touch can become a communication channel between humans and machines, and why haptic feedback matters for safer, more intuitive human-robot teaming.We discuss how autonomy can shift fluidly between humans and robots depending on task difficulty, confidence, and environmental uncertainty, plus where wearable haptics are heading next and which applications stand to benefit most.

Key topics
  • Filippo Sanfilippo introduces human-robot teaming as the next step beyond human-robot interaction and collaboration, where humans and robots share space, forces, and decisions.
  • Claudio explains haptics as a communication channel that adds a physical layer to human-machine interaction, making control more natural and safe.
  • We discuss why touch is still underexplored compared with vision and audio, even though it becomes critical when humans and robots physically interact.
  • Claudio describes shared control and shifting autonomy, where the robot takes on more or less of the task depending on confidence, task difficulty, and sensor quality.
  • The episode looks at how haptic feedback supports situational awareness without overloading the visual channel.
  • Claudio explains why wearable haptics matter for teleoperation and training, especially when natural dexterity must be preserved.
  • We discuss cutaneous haptics such as vibration, skin stretch, pressure, and temperature, and how these can be combined with vision and audio.
  • Claudio highlights practical application areas including drone fleets, humanoid robots, hospitals, logistics, medicine, space, defense, delivery, and factories.
  • The conversation closes on the idea of human-centered robotics, where robots empower humans rather than replace them.

Timestamps

00:00 - Introducing Claudio Pacchierotti and the idea of human-robot teaming

00:32 - Claudio’s background in haptics, wearable interfaces, and shared control

01:31 - Why touch matters in human-machine interaction

03:05 - From human-robot collaboration to shared space, forces, and decisions

04:09 - Haptics as a communication channel between humans and robots

06:26 - Shared control for complex systems like humanoid robots and drone fleets

08:26 - How haptic feedback improves situational awareness during control

09:56 - Why touch can convey physical and abstract information without visual overload

11:15 - Shifting autonomy based on task difficulty and confidence

13:10 - Using shifting autonomy for training and complex robotic systems

15:17 - Cutaneous haptics, safe teleoperation, and keeping dexterity intact

17:22 - Combining vibration, pressure, skin stretch, and temperature

18:48 - Where human-robot teaming matters most in real-world applications

21:05 - Better actuators, sensors, algorithms, and haptic interfaces for teaming

23:13 - Why rich feedback improves trust, acceptance, and collaboration

24:56 - “Just enough haptics” and the future of wearable interfaces

27:12 - Human-centered robotics that empower rather than replace people

30:07 - Why the field is broad, multidisciplinary, and still expanding

Notable quotes

“Haptics as a way of communication between humans and cyber-physical systems.”

“We believe in robots that can empower humans, not replace humans.”

“Just enough haptics.”

]]>8b8c4f38-73f9-48f8-b13a-4955565a612eWed, 26 Aug 2026 03:00:00 -040036:10falsefullWhy Randomness Is the Secret Engine of Human-Robot TeamingWhy Randomness Is the Secret Engine of Human-Robot TeamingHuman-Robot Teaming, Randomness, and Why Statistics Matter

In this episode, Filippo Sanfilippo speaks with Professor Svein Olav Nyberg from the University of Agder about how statistics and probability sit at the center of human-robot teaming. They connect robotics to bachata dancing, human movement prediction, teaching, machine learning, and even dreams and consciousness.The conversation is wide-ranging, but the through line is clear: humans are not perfectly predictable, and good systems need to handle uncertainty rather than pretend it does not exist.

Key topics
  • In this episode: Filippo introduces Svein Olav Nyberg as a colleague, researcher, author of Bayesian Way, and one of the statistical foundations behind the group’s human-robot teaming work.
  • The discussion defines human-robot teaming (HRT) as more than interaction or collaboration: humans and machines share space, forces, and intention, and the leader-follower role can shift depending on the task.
  • Bachata dancing becomes the metaphor for control design, especially the idea that one partner leads while the other follows, and that those roles can sometimes be swapped.
  • The hosts explain a Greek-letter autonomy parameter, alpha, which acts like a slider for delegating more or less control from human to robot.
  • A major example is trajectory prediction in industrial settings, where synthetic human motion is generated instead of forcing real workers to repeat paths thousands of times.
  • Svein Olav describes using an Ornstein-Uhlenbeck process to model random motion with a pull back toward an intended path, including both position and velocity in two dimensions.
  • The same movement data can support more than prediction: it can help slow robots near passing workers, adapt machine behavior to the workspace, identify operators by gait, and detect anomalies.
  • Randomness becomes a recurring theme, from heart rate variability and walking patterns to art, teaching, and memory retention.
  • Svein Olav shares how introducing randomness in lectures and exams can increase engagement and improve memory, because interest boosts retention.
  • The conversation broadens to machine learning and statistics, with the point that statistics is the engine under the hood, especially when uncertainty matters more than a single output number.
  • They discuss robotics moving from rigid white-box control toward hybrid systems that combine low-level motor and sensor control with statistical and machine learning methods.
  • In the closing section, the guests reflect on future systems that can handle unexpected input, on pseudo-randomness in cryptography, and on whether machines might someday dream or feel emotions.

Timestamps

00:00 - Opening the episode and introducing the guest 01:21 - Why statistics matters for human-robot teaming 03:21 - From human-robot interaction to shared space, force, and intention 04:20 - Bachata as a metaphor for leader-follower control 05:47 - Swapping roles with AI during dance instruction 06:46 - The autonomy slider, alpha, in human-robot teaming 10:03 - Modeling human trajectories in industrial environments 11:00 - Generating synthetic humans instead of collecting exhausting real-world data 12:57 - Ornstein-Uhlenbeck motion modeling for position and velocity 14:23 - Using the same data for robot adaptation, identification, and anomaly detection 16:57 - Randomness, heart rate variability, and healthy human rhythms 19:42 - Random teaching, dice-based exams, and student engagement 21:29 - Why interest improves memory retention 23:30 - Statistics as the bridge between theory and practice in AI 24:56 - Why uncertainty matters more than a single machine learning output 27:24 - Bridging traditional robotics with statistics and machine learning 28:14 - Randomness in cryptography and pseudo-random number generators 30:26 - A football example that unexpectedly became a teaching tool 33:11 - Dreams, hallucinations, and whether machines can interpret or have dreams 34:49 - Blade Runner, consciousness, and synthetic beings 37:26 - The future is more open because systems must handle the unexpected 39:10 - Closing thoughts, karaoke, and the episode sign-off

Key frameworks
  • Human-robot teaming
  • Shared space
  • Shared forces
  • Shared intention
  • Autonomy slider
  • A controllable degree of delegation between human and robot
  • Ornstein-Uhlenbeck process
  • Random motion with a tendency to return toward a target state
  • Statistics under the hood
  • Machine learning is powerful, but statistics explains uncertainty and credibility

Notable quotes

"The future is far more open than we actually believe it is."

"Statistics is the engine" behind machine learning.

"We share space, we share forces, and we finally also share intention."

]]>Human-Robot Teaming, Randomness, and Why Statistics Matter

In this episode, Filippo Sanfilippo speaks with Professor Svein Olav Nyberg from the University of Agder about how statistics and probability sit at the center of human-robot teaming. They connect robotics to bachata dancing, human movement prediction, teaching, machine learning, and even dreams and consciousness.The conversation is wide-ranging, but the through line is clear: humans are not perfectly predictable, and good systems need to handle uncertainty rather than pretend it does not exist.

Key topics
  • In this episode: Filippo introduces Svein Olav Nyberg as a colleague, researcher, author of Bayesian Way, and one of the statistical foundations behind the group’s human-robot teaming work.
  • The discussion defines human-robot teaming (HRT) as more than interaction or collaboration: humans and machines share space, forces, and intention, and the leader-follower role can shift depending on the task.
  • Bachata dancing becomes the metaphor for control design, especially the idea that one partner leads while the other follows, and that those roles can sometimes be swapped.
  • The hosts explain a Greek-letter autonomy parameter, alpha, which acts like a slider for delegating more or less control from human to robot.
  • A major example is trajectory prediction in industrial settings, where synthetic human motion is generated instead of forcing real workers to repeat paths thousands of times.
  • Svein Olav describes using an Ornstein-Uhlenbeck process to model random motion with a pull back toward an intended path, including both position and velocity in two dimensions.
  • The same movement data can support more than prediction: it can help slow robots near passing workers, adapt machine behavior to the workspace, identify operators by gait, and detect anomalies.
  • Randomness becomes a recurring theme, from heart rate variability and walking patterns to art, teaching, and memory retention.
  • Svein Olav shares how introducing randomness in lectures and exams can increase engagement and improve memory, because interest boosts retention.
  • The conversation broadens to machine learning and statistics, with the point that statistics is the engine under the hood, especially when uncertainty matters more than a single output number.
  • They discuss robotics moving from rigid white-box control toward hybrid systems that combine low-level motor and sensor control with statistical and machine learning methods.
  • In the closing section, the guests reflect on future systems that can handle unexpected input, on pseudo-randomness in cryptography, and on whether machines might someday dream or feel emotions.

Timestamps

00:00 - Opening the episode and introducing the guest 01:21 - Why statistics matters for human-robot teaming 03:21 - From human-robot interaction to shared space, force, and intention 04:20 - Bachata as a metaphor for leader-follower control 05:47 - Swapping roles with AI during dance instruction 06:46 - The autonomy slider, alpha, in human-robot teaming 10:03 - Modeling human trajectories in industrial environments 11:00 - Generating synthetic humans instead of collecting exhausting real-world data 12:57 - Ornstein-Uhlenbeck motion modeling for position and velocity 14:23 - Using the same data for robot adaptation, identification, and anomaly detection 16:57 - Randomness, heart rate variability, and healthy human rhythms 19:42 - Random teaching, dice-based exams, and student engagement 21:29 - Why interest improves memory retention 23:30 - Statistics as the bridge between theory and practice in AI 24:56 - Why uncertainty matters more than a single machine learning output 27:24 - Bridging traditional robotics with statistics and machine learning 28:14 - Randomness in cryptography and pseudo-random number generators 30:26 - A football example that unexpectedly became a teaching tool 33:11 - Dreams, hallucinations, and whether machines can interpret or have dreams 34:49 - Blade Runner, consciousness, and synthetic beings 37:26 - The future is more open because systems must handle the unexpected 39:10 - Closing thoughts, karaoke, and the episode sign-off

Key frameworks
  • Human-robot teaming
  • Shared space
  • Shared forces
  • Shared intention
  • Autonomy slider
  • A controllable degree of delegation between human and robot
  • Ornstein-Uhlenbeck process
  • Random motion with a tendency to return toward a target state
  • Statistics under the hood
  • Machine learning is powerful, but statistics explains uncertainty and credibility

Notable quotes

"The future is far more open than we actually believe it is."

"Statistics is the engine" behind machine learning.

"We share space, we share forces, and we finally also share intention."

]]>c12ac7b5-ca61-4ad1-b628-1a211157c116Wed, 12 Aug 2026 03:00:00 -040045:43falsefullHow Imitation Learning Turns Robots Into Skilled Learners - Like Toddlers Breaking Eggs to LearnHow Imitation Learning Turns Robots Into Skilled Learners - Like Toddlers Breaking Eggs to LearnJoin us for an enlightening discussion with PhD candidate Martin Økter about the forefront of human-robot teaming (HRT). We delve into how touch, machine learning, simulation, and safety are shaping the future of robotics across industries such as automotive recycling, healthcare, and space exploration.

Main Topics:
  • The role of haptics and touch in enhancing human-robot interaction
  • Imitation learning and simulation for robot training and safety
  • Modular robotics architectures and ROS for complex applications
  • Future implications and societal benefits of collaborative robots
  • Practical insights for aspiring researchers and industry leaders

Timestamps:

00:00 - Introduction to human-robot teaming and Martin Økter

00:30 - The significance of haptics and the senses in robotics

01:02 - Applications of HRT in battery disassembly processes

01:33 - The shift from humans teaching robots to joint teamwork

02:02 - Using machine learning and imitation learning in robots

02:31 - The importance of tactile feedback and learning through testing

03:01 - Augmented surgical aid: reducing reliance on cadavers

03:30 - Designing scalable robotic systems with ROS

04:11 - Modular control architectures for complex disassembly tasks

04:49 - Simulation environments like Nvidia's IsaacSim for training robots

05:20 - Safety constraints and merging traditional control with machine learning

06:00 - Challenges and opportunities in long-term robot deployment

06:45 - Future scenarios: robotic applications in medical and industrial sectors

07:30 - The importance of continuous learning and exploration in robotics

08:10 - Advice for young researchers: passion, curiosity, and perseverance

08:50 - The societal role of collaborative robots and ethical considerations

09:40 - Concluding thoughts: a future driven by human-robot collaboration

Resources & Links:

Connect with Martin Økter:

Join us on this journey to the future of collaborative robotics, where humans and machines support each other, overcoming challenges and unlocking new potentials!

]]>Join us for an enlightening discussion with PhD candidate Martin Økter about the forefront of human-robot teaming (HRT). We delve into how touch, machine learning, simulation, and safety are shaping the future of robotics across industries such as automotive recycling, healthcare, and space exploration.

Main Topics:
  • The role of haptics and touch in enhancing human-robot interaction
  • Imitation learning and simulation for robot training and safety
  • Modular robotics architectures and ROS for complex applications
  • Future implications and societal benefits of collaborative robots
  • Practical insights for aspiring researchers and industry leaders

Timestamps:

00:00 - Introduction to human-robot teaming and Martin Økter

00:30 - The significance of haptics and the senses in robotics

01:02 - Applications of HRT in battery disassembly processes

01:33 - The shift from humans teaching robots to joint teamwork

02:02 - Using machine learning and imitation learning in robots

02:31 - The importance of tactile feedback and learning through testing

03:01 - Augmented surgical aid: reducing reliance on cadavers

03:30 - Designing scalable robotic systems with ROS

04:11 - Modular control architectures for complex disassembly tasks

04:49 - Simulation environments like Nvidia's IsaacSim for training robots

05:20 - Safety constraints and merging traditional control with machine learning

06:00 - Challenges and opportunities in long-term robot deployment

06:45 - Future scenarios: robotic applications in medical and industrial sectors

07:30 - The importance of continuous learning and exploration in robotics

08:10 - Advice for young researchers: passion, curiosity, and perseverance

08:50 - The societal role of collaborative robots and ethical considerations

09:40 - Concluding thoughts: a future driven by human-robot collaboration

Resources & Links:

Connect with Martin Økter:

Join us on this journey to the future of collaborative robotics, where humans and machines support each other, overcoming challenges and unlocking new potentials!

]]>4a5f497a-c358-4e4b-92b1-781dfaaeaeacWed, 29 Jul 2026 03:00:00 -040039:24falsefullThe Hidden Power of Perception: How Multilevel Sensing Shapes Human-Robot TeamingThe Hidden Power of Perception: How Multilevel Sensing Shapes Human-Robot TeamingHuman-Robot Teaming, Artificial Intelligence, Perception, Art and Mathematics, Unsupervised Learning, Future of Robotics, Art and AI, Perception and Language, Creativity in AI

Exploring Human-Robot Teaming, Perception, and Artistic Innovation with Professor Marius Leordeanu

Dive into a thought-provoking conversation with Professor Marius Leordeanu as he discusses the intersection of robotics, perception, art, and mathematics. Discover how AI is transforming our understanding of perception, elevating human creativity, and inspiring new ways to live and collaborate with machines.

Main Topics Covered:
  • The essence of human-robot teaming: sharing space, forces, and decisions
  • The deep connection between mathematics, poetry, art, and perception
  • The role of perception at multiple levels: sensors, semantics, and consciousness
  • Innovations in real-time art creation using AI and diffusion models
  • The philosophical perspective: AI as an extension, not a replacement, of humanity
  • How AI and robotics enhance creativity, exploration, and understanding of the world
  • The importance of mathematics in technology and AI development
  • The future of multimodal interfaces integrating sight, sound, touch, and potentially taste and smell
  • Ethical considerations: security, trust, and the role of AI in society
  • The concept of perception with intention and its significance in human-robot interaction

Timestamps:
  • (00:00) - Introduction to Human-Robot Teaming: Collaboration in shared space and decision-making
  • (02:00) - Professor Marius Leordeanu's background: Robotics, mathematics, and AI research
  • (04:26) - From snake robots to search-and-rescue: Practical applications of robotics in extreme environments
  • (06:10) - The intersection of mathematics, art, and perception: Deep analogies and metaphors
  • (08:53) - Robots as extensions of human senses and capabilities: Transcendence through automation
  • (12:24) - AI as a tool for increasing human consciousness and creativity
  • (14:32) - The concept of teaming: robotics as a partnership, not a replacement
  • (16:57) - The importance of perception at multiple levels for human-robot interaction
  • (23:19) - The challenge of understanding metaphors: language, vision, and context in AI systems
  • (25:43) - The connection between language and perception: building a unified understanding
  • (31:16) - Limitations of humanoid robots and the importance of context and imitation in machine understanding
  • (35:32) - The evolution of human-centered technology: smartphones and multimodal interfaces
  • (38:29) - The role of mathematics and linear algebra in AI and perception
  • (41:11) - Moving beyond pattern recognition: AI's potential to understand life, consciousness, and purpose
  • (45:09) - Perception with intention: AI as a tool for serving human and societal goals
  • (50:04) - Mathematics as the foundation of understanding our universe and AI's role in future innovations
  • (54:45) - Art, AI, and the Smile Project: Creating interactive art responding to human emotions
  • (69:40) - Artistic storytelling and virtual reality: Using AI for immersive narrative experiences
  • (77:29) - Flying robots and extended perception: Exploring new frontiers in aerial AI systems
  • (82:41) - Gratitude, inspiration, and calls to action for the future of AI and robotics

Resources & Links:

Connect with Professor Marius Leordeanu:

Join us for a visionary exploration into how AI is transforming perception, art, and human-robot collaboration, and what this means for our future society. Don't miss the final inspiring message from Professor Marius Leordeanu about elevating humanity through technology.

]]>Human-Robot Teaming, Artificial Intelligence, Perception, Art and Mathematics, Unsupervised Learning, Future of Robotics, Art and AI, Perception and Language, Creativity in AI

Exploring Human-Robot Teaming, Perception, and Artistic Innovation with Professor Marius Leordeanu

Dive into a thought-provoking conversation with Professor Marius Leordeanu as he discusses the intersection of robotics, perception, art, and mathematics. Discover how AI is transforming our understanding of perception, elevating human creativity, and inspiring new ways to live and collaborate with machines.

Main Topics Covered:
  • The essence of human-robot teaming: sharing space, forces, and decisions
  • The deep connection between mathematics, poetry, art, and perception
  • The role of perception at multiple levels: sensors, semantics, and consciousness
  • Innovations in real-time art creation using AI and diffusion models
  • The philosophical perspective: AI as an extension, not a replacement, of humanity
  • How AI and robotics enhance creativity, exploration, and understanding of the world
  • The importance of mathematics in technology and AI development
  • The future of multimodal interfaces integrating sight, sound, touch, and potentially taste and smell
  • Ethical considerations: security, trust, and the role of AI in society
  • The concept of perception with intention and its significance in human-robot interaction

Timestamps:
  • (00:00) - Introduction to Human-Robot Teaming: Collaboration in shared space and decision-making
  • (02:00) - Professor Marius Leordeanu's background: Robotics, mathematics, and AI research
  • (04:26) - From snake robots to search-and-rescue: Practical applications of robotics in extreme environments
  • (06:10) - The intersection of mathematics, art, and perception: Deep analogies and metaphors
  • (08:53) - Robots as extensions of human senses and capabilities: Transcendence through automation
  • (12:24) - AI as a tool for increasing human consciousness and creativity
  • (14:32) - The concept of teaming: robotics as a partnership, not a replacement
  • (16:57) - The importance of perception at multiple levels for human-robot interaction
  • (23:19) - The challenge of understanding metaphors: language, vision, and context in AI systems
  • (25:43) - The connection between language and perception: building a unified understanding
  • (31:16) - Limitations of humanoid robots and the importance of context and imitation in machine understanding
  • (35:32) - The evolution of human-centered technology: smartphones and multimodal interfaces
  • (38:29) - The role of mathematics and linear algebra in AI and perception
  • (41:11) - Moving beyond pattern recognition: AI's potential to understand life, consciousness, and purpose
  • (45:09) - Perception with intention: AI as a tool for serving human and societal goals
  • (50:04) - Mathematics as the foundation of understanding our universe and AI's role in future innovations
  • (54:45) - Art, AI, and the Smile Project: Creating interactive art responding to human emotions
  • (69:40) - Artistic storytelling and virtual reality: Using AI for immersive narrative experiences
  • (77:29) - Flying robots and extended perception: Exploring new frontiers in aerial AI systems
  • (82:41) - Gratitude, inspiration, and calls to action for the future of AI and robotics

Resources & Links:

Connect with Professor Marius Leordeanu:

Join us for a visionary exploration into how AI is transforming perception, art, and human-robot collaboration, and what this means for our future society. Don't miss the final inspiring message from Professor Marius Leordeanu about elevating humanity through technology.

]]>ec663a93-9914-4aa5-90e9-02ce4ce20479Wed, 15 Jul 2026 03:00:00 -040001:29:12falsefullFrom Disabilities to Superheroes: The Vision of Human-Robot Teaming That Augment HumansFrom Disabilities to Superheroes: The Vision of Human-Robot Teaming That Augment HumansHuman-Robot Teaming: Innovations in Exoskeletons and Haptic Interfaces with Professor Mihai Dragusanu

Explore how advanced robotics, soft actuators, and intuitive haptic interfaces are revolutionizing healthcare, rehabilitation, and industrial environments through collaborative human-robot teaming. In this episode, Professor Mihai Dragusanu shares insights into developing wearable exoskeletons, integrating AI for intention detection, and envisioning the future of multi-agent robotics.Key topics

  • The evolution from rigid to soft exoskeletons and their benefits for usability and safety
  • The role of AI and advanced sensors in understanding human intentions
  • The importance of haptic feedback for trust and control in human-robot interaction
  • Modular and customizable robotic systems for personalized rehabilitation
  • Future perspectives on environment-aware exoskeletons communicating with other cobots and humans
  • The societal impact of wearable robotics: from disability mitigation to superhuman capabilities
  • Reusing design principles like AI integration across various robotic applications
  • The vision of collaborative, community-based rehabilitation and industrial work environments
  • Philosophical implications of technology extending human abilities beyond disabilities

Timestamps

00:00 - Introduction to Professor Mihai Dragusanu and the theme of human-robot teaming

02:41 - Mihai’s research background in exoskeletons and soft robotics

04:37 - Achievements and recognition at ICRA for innovative exoskeleton research

07:01 - Core enabling technologies: sensors, actuators, and adaptive algorithms

09:02 - How personal disability experiences drive Mihai’s research focus

11:18 - Transition from rigid to soft exoskeletons and the development of twist string actuators

14:41 - Combining soft and rigid elements for powerful, lightweight exoskeletons

17:25 - Disabling vs. augmenting capabilities through wearable technology

19:17 - The significance of intuitive haptic interfaces for trust and control

20:09 - Personal experience with haptic feedback during robotic demonstrations

26:37 - Rehabilitation applications: modular, personalized, AI-driven exoskeletons

29:13 - Tele-rehabilitation and AI for intent recognition in therapy

31:20 - Wearable haptics and tactile feedback in healthcare and industrial tasks

33:04 - Future visions: environment-aware, multi-user, and community-based exoskeleton systems

35:44 - Shifting paradigms from one-to-one to many-to-many human-robot collaboration

40:20 - Envisioning a future where disabilities are integrated into the technological fabric of society

43:01 - Final reflections and upcoming collaborations, including conferences and esteemed colleaguesResources & Links


Connect with Mihai Dragusanu


This episode delves into cutting-edge research, philosophical reflections, and future visions that underscore the transformative potential of collaborative robotics rooted in soft, intuitive, and adaptive systems. Whether in healthcare or industry, the message is clear: technology today aims to extend human capabilities and foster inclusive, dynamic, and resilient team environments.

]]>Human-Robot Teaming: Innovations in Exoskeletons and Haptic Interfaces with Professor Mihai Dragusanu

Explore how advanced robotics, soft actuators, and intuitive haptic interfaces are revolutionizing healthcare, rehabilitation, and industrial environments through collaborative human-robot teaming. In this episode, Professor Mihai Dragusanu shares insights into developing wearable exoskeletons, integrating AI for intention detection, and envisioning the future of multi-agent robotics.Key topics

  • The evolution from rigid to soft exoskeletons and their benefits for usability and safety
  • The role of AI and advanced sensors in understanding human intentions
  • The importance of haptic feedback for trust and control in human-robot interaction
  • Modular and customizable robotic systems for personalized rehabilitation
  • Future perspectives on environment-aware exoskeletons communicating with other cobots and humans
  • The societal impact of wearable robotics: from disability mitigation to superhuman capabilities
  • Reusing design principles like AI integration across various robotic applications
  • The vision of collaborative, community-based rehabilitation and industrial work environments
  • Philosophical implications of technology extending human abilities beyond disabilities

Timestamps

00:00 - Introduction to Professor Mihai Dragusanu and the theme of human-robot teaming

02:41 - Mihai’s research background in exoskeletons and soft robotics

04:37 - Achievements and recognition at ICRA for innovative exoskeleton research

07:01 - Core enabling technologies: sensors, actuators, and adaptive algorithms

09:02 - How personal disability experiences drive Mihai’s research focus

11:18 - Transition from rigid to soft exoskeletons and the development of twist string actuators

14:41 - Combining soft and rigid elements for powerful, lightweight exoskeletons

17:25 - Disabling vs. augmenting capabilities through wearable technology

19:17 - The significance of intuitive haptic interfaces for trust and control

20:09 - Personal experience with haptic feedback during robotic demonstrations

26:37 - Rehabilitation applications: modular, personalized, AI-driven exoskeletons

29:13 - Tele-rehabilitation and AI for intent recognition in therapy

31:20 - Wearable haptics and tactile feedback in healthcare and industrial tasks

33:04 - Future visions: environment-aware, multi-user, and community-based exoskeleton systems

35:44 - Shifting paradigms from one-to-one to many-to-many human-robot collaboration

40:20 - Envisioning a future where disabilities are integrated into the technological fabric of society

43:01 - Final reflections and upcoming collaborations, including conferences and esteemed colleaguesResources & Links


Connect with Mihai Dragusanu


This episode delves into cutting-edge research, philosophical reflections, and future visions that underscore the transformative potential of collaborative robotics rooted in soft, intuitive, and adaptive systems. Whether in healthcare or industry, the message is clear: technology today aims to extend human capabilities and foster inclusive, dynamic, and resilient team environments.

]]>6c1caef1-c431-4270-b673-fdac91f9a734Wed, 01 Jul 2026 03:00:00 -040049:09falsefullSpecial Episode from the 40th ECMS International Conference on Modelling and Simulation (ECMS 2026)Special Episode from the 40th ECMS International Conference on Modelling and Simulation (ECMS 2026)In this special episode recorded for the 40th ECMS International Conference on Modelling and Simulation (ECMS) in Grimstad, Norway, we bring together three perspectives on the future of simulation, AI, and human-centered robotics. From supply chain digital twins and agentic AI to wearable robotic devices and human-robot teaming in battery disassembly, this episode highlights how modeling and simulation are shaping practical innovation across research and industry.

Featured Talks
Prof. Dr. Dr. habil. Dmitry Ivanov
  • “Supply chain simulation, agentic AI and digital twins: from theory to use cases and implementation blueprints”

Prof. Monica Malvezzi
  • “The Role Of Simulation In The Design Of Wearable Robotic Devices: A Human-Centered Perspective With Modular Gloves And Twisted String Actuators”

Prof. Filippo Sanfilippo and Cecilia Scoccia
  • “Imitation Learning For Human–robot Teaming In Battery Disassembly: Enabling Technologies and a Collaborative Manipulation Pipeline”

What You’ll Learn
  • How simulation supports resilient and intelligent supply chains
  • Why digital twins and agentic AI are becoming central to implementation blueprints
  • How human-centered design informs the next generation of wearable robotic devices
  • How imitation learning can enable human-robot teaming in complex disassembly tasks
  • The broader role of modeling and simulation in advancing Industry 4.0 and beyond

Conference Context

This episode is connected to the proceedings of the

40th ECMS International Conference on Modelling and Simulation, Grimstad, Norway, June 23rd to 26th, 2026.
Credits

ECMS

]]>In this special episode recorded for the 40th ECMS International Conference on Modelling and Simulation (ECMS) in Grimstad, Norway, we bring together three perspectives on the future of simulation, AI, and human-centered robotics. From supply chain digital twins and agentic AI to wearable robotic devices and human-robot teaming in battery disassembly, this episode highlights how modeling and simulation are shaping practical innovation across research and industry.

Featured Talks
Prof. Dr. Dr. habil. Dmitry Ivanov
  • “Supply chain simulation, agentic AI and digital twins: from theory to use cases and implementation blueprints”

Prof. Monica Malvezzi
  • “The Role Of Simulation In The Design Of Wearable Robotic Devices: A Human-Centered Perspective With Modular Gloves And Twisted String Actuators”

Prof. Filippo Sanfilippo and Cecilia Scoccia
  • “Imitation Learning For Human–robot Teaming In Battery Disassembly: Enabling Technologies and a Collaborative Manipulation Pipeline”

What You’ll Learn
  • How simulation supports resilient and intelligent supply chains
  • Why digital twins and agentic AI are becoming central to implementation blueprints
  • How human-centered design informs the next generation of wearable robotic devices
  • How imitation learning can enable human-robot teaming in complex disassembly tasks
  • The broader role of modeling and simulation in advancing Industry 4.0 and beyond

Conference Context

This episode is connected to the proceedings of the

40th ECMS International Conference on Modelling and Simulation, Grimstad, Norway, June 23rd to 26th, 2026.
Credits

ECMS

]]>f6420913-82d2-44d7-b524-c616a4c06834Sun, 28 Jun 2026 03:00:00 -040003:24:43falsefullThe Philosophical Impact of Art That Makes Machines Feel HumanThe Philosophical Impact of Art That Makes Machines Feel HumanExploring the Fusion of Art, Human Emotion, and Artificial Intelligence with Cristina Lazăr

Join us in this inspiring episode where art meets AI, as Cristina Lazăr shares her visionary projects that integrate creativity, emotion, and advanced technology. Discover how her innovative work is reshaping human-machine interactions and pushing the boundaries of artistic expression.

Main Topics Covered:
  • The intersection of art, science, and artificial intelligence in contemporary projects
  • How sensors, lights, and neural networks allow art to respond to human emotions
  • The concept of emotional loops in human-robot teaming and non-verbal communication
  • The project "Paint with Me" as an example of real-time, multisensory artistic engagement
  • The philosophical and spiritual dimensions of creating art as a service to humanity
  • Future perspectives on human-robot collaboration and emotion sharing in AI

Timestamps:

00:00 - Introduction to Cristina Lazăr and her artistic environment

00:48 - Connecting art, science, and AI through human-robot teaming

01:33 - Cristina Lazăr’s background as an artist and researcher in human-AI interaction

02:48 - Cristina’s previous projects and recent exhibitions in Norway

03:53 - Collaborations with European robotics communities and other scientists

05:10 - The "Maya" project: non-verbal, real-time communication system

06:25 - Artwork as an interactive, sensorized entity that responds to human emotions

07:54 - The integration of mathematics, algorithms, and art in Cristina’s practice

09:34 - The role of emotion, expression, and trust in AI-enabled art

11:06 - The use of convolutional neural networks to make paintings "see" and respond

12:48 - Art as a mirror of the human soul and the importance of tactile interaction

14:20 - Elevating traditional art techniques with multisensory, sensor-based technology

16:48 - The significance of non-verbal languages, mirroring, and emotion recognition

18:08 - Neural networks and AI systems perceiving and reacting to human gestures

19:01 - The importance of trust, presence, and acknowledgment in human-AI interactions

21:42 - Summarizing Cristina’s vision: eyes, brain, and emotion in art

23:46 - The "Paint with Me" project and the fusion of classical painting with AI-driven responses

25:17 - Cultural and historical allusions, like the civilization of Maya, in human-AI emotional exchange

27:08 - The potential to use sensors and AI for emotion detection and adaptation in art

28:40 - The role of art and AI in creating meaningful stories connected to our past and future

30:36 - Art as a tool to evoke emotions and reflect the human condition

35:47 - The journey from curiosity to mastery in art and robotics over decades

38:50 - Returning to non-verbal, embodied, and multi-sensory forms of communication in art and research

41:50 - The philosophical insights: art, research, and the human soul as expressions of the divine

44:55 - The evolution of the expression of human feelings through neural networks and AI

48:50 - Vision for future human-robot teaming: sharing feelings, physical collaboration, and emotional resonance

53:29 - The spiritual dimension in Cristina Lazăr’s work: love, life, and connection to the universe

54:42 - Closing thoughts: art as a divine act, inspiration, and ongoing collaboration

Connect with Cristina Lazăr:

This episode celebrates the harmony between creativity and technology, and how emotional intelligence shapes the future of human-robot collaboration. Expect insights into how art can serve as a bridge to understanding ourselves and each other in this evolving digital era.

]]>Exploring the Fusion of Art, Human Emotion, and Artificial Intelligence with Cristina Lazăr

Join us in this inspiring episode where art meets AI, as Cristina Lazăr shares her visionary projects that integrate creativity, emotion, and advanced technology. Discover how her innovative work is reshaping human-machine interactions and pushing the boundaries of artistic expression.

Main Topics Covered:
  • The intersection of art, science, and artificial intelligence in contemporary projects
  • How sensors, lights, and neural networks allow art to respond to human emotions
  • The concept of emotional loops in human-robot teaming and non-verbal communication
  • The project "Paint with Me" as an example of real-time, multisensory artistic engagement
  • The philosophical and spiritual dimensions of creating art as a service to humanity
  • Future perspectives on human-robot collaboration and emotion sharing in AI

Timestamps:

00:00 - Introduction to Cristina Lazăr and her artistic environment

00:48 - Connecting art, science, and AI through human-robot teaming

01:33 - Cristina Lazăr’s background as an artist and researcher in human-AI interaction

02:48 - Cristina’s previous projects and recent exhibitions in Norway

03:53 - Collaborations with European robotics communities and other scientists

05:10 - The "Maya" project: non-verbal, real-time communication system

06:25 - Artwork as an interactive, sensorized entity that responds to human emotions

07:54 - The integration of mathematics, algorithms, and art in Cristina’s practice

09:34 - The role of emotion, expression, and trust in AI-enabled art

11:06 - The use of convolutional neural networks to make paintings "see" and respond

12:48 - Art as a mirror of the human soul and the importance of tactile interaction

14:20 - Elevating traditional art techniques with multisensory, sensor-based technology

16:48 - The significance of non-verbal languages, mirroring, and emotion recognition

18:08 - Neural networks and AI systems perceiving and reacting to human gestures

19:01 - The importance of trust, presence, and acknowledgment in human-AI interactions

21:42 - Summarizing Cristina’s vision: eyes, brain, and emotion in art

23:46 - The "Paint with Me" project and the fusion of classical painting with AI-driven responses

25:17 - Cultural and historical allusions, like the civilization of Maya, in human-AI emotional exchange

27:08 - The potential to use sensors and AI for emotion detection and adaptation in art

28:40 - The role of art and AI in creating meaningful stories connected to our past and future

30:36 - Art as a tool to evoke emotions and reflect the human condition

35:47 - The journey from curiosity to mastery in art and robotics over decades

38:50 - Returning to non-verbal, embodied, and multi-sensory forms of communication in art and research

41:50 - The philosophical insights: art, research, and the human soul as expressions of the divine

44:55 - The evolution of the expression of human feelings through neural networks and AI

48:50 - Vision for future human-robot teaming: sharing feelings, physical collaboration, and emotional resonance

53:29 - The spiritual dimension in Cristina Lazăr’s work: love, life, and connection to the universe

54:42 - Closing thoughts: art as a divine act, inspiration, and ongoing collaboration

Connect with Cristina Lazăr:

This episode celebrates the harmony between creativity and technology, and how emotional intelligence shapes the future of human-robot collaboration. Expect insights into how art can serve as a bridge to understanding ourselves and each other in this evolving digital era.

]]>94f9a679-e237-4d70-b0a1-d13ee9fd6259Wed, 17 Jun 2026 03:00:00 -040001:01:20falsefullAmong Us: Human-Robot Teaming - Special ICRA 2026 EpisodeAmong Us: Human-Robot Teaming - Special ICRA 2026 EpisodeEpisode Overview:

Join Professor Filippo Sanfilippo as he takes a guided tour of an exciting robotics exhibition at ICRA 2026 in Vienna, Austria. This special episode showcases groundbreaking demonstrations and cutting-edge research from leading experts in robotics, human-robot interaction, and AI-driven automation.

Featured Guests & Highlights:


What You’ll Learn:

  • How neuromorphic event cameras improve robotic perception for object recognition and grasping.
  • The latest in markerless motion capture for natural human-robot interaction.
  • Strategies for enhancing human capabilities using collaborative robotic systems.
  • The Loop Closure Grasping paradigm and its applications in safe, gentle, and versatile object handling.
  • Insights from top robotics leaders on the future of automation and human-robot teaming.

Event Details:

  • Location: Vienna, Austria
  • Conference: IEEE International Conference on Robotics and Automation (ICRA 2026)
  • Dates: June 1–5, 2026

Tune in to experience the intersection of research, innovation, and real-world robotics demonstrations, all captured during this premier robotics event.

]]>Episode Overview:

Join Professor Filippo Sanfilippo as he takes a guided tour of an exciting robotics exhibition at ICRA 2026 in Vienna, Austria. This special episode showcases groundbreaking demonstrations and cutting-edge research from leading experts in robotics, human-robot interaction, and AI-driven automation.

Featured Guests & Highlights:


What You’ll Learn:

  • How neuromorphic event cameras improve robotic perception for object recognition and grasping.
  • The latest in markerless motion capture for natural human-robot interaction.
  • Strategies for enhancing human capabilities using collaborative robotic systems.
  • The Loop Closure Grasping paradigm and its applications in safe, gentle, and versatile object handling.
  • Insights from top robotics leaders on the future of automation and human-robot teaming.

Event Details:

  • Location: Vienna, Austria
  • Conference: IEEE International Conference on Robotics and Automation (ICRA 2026)
  • Dates: June 1–5, 2026

Tune in to experience the intersection of research, innovation, and real-world robotics demonstrations, all captured during this premier robotics event.

]]>d5ef7ba3-8189-454b-b7e2-75579b07c626Sat, 06 Jun 2026 03:00:00 -040002:05:12falsefullFrom Rigid Control to Shared Autonomy: The Future of Medical Robotics and SurgeryFrom Rigid Control to Shared Autonomy: The Future of Medical Robotics and SurgeryExploring Human-Robot Teaming: Insights from Professor Paolo Fiorini

In this episode of Among Us, Human-Robot Teaming, we sit down with robotics pioneer Professor Paolo Fiorini to discuss the evolution of robotic autonomy, ethics, and the future of collaboration between humans and machines. Discover his insights on surgical robotics, trust in AI, and the role of simulation and haptics in advancing human-robot interaction.

Main Topics:

  • The progression from isolated industrial robots to collaborative human-robot teaming
  • The role of autonomy levels, from teleoperation to autonomous systems
  • Challenges of trust, safety, and ethics in AI and robotics
  • Innovations in surgical robotics and the significance of tactile/haptic feedback
  • Future perspectives on specialized AI tools and the importance of simulation

Timestamps:00:45 - Introduction to Professor Fiorini and his pioneering work in robotics

01:27 - Biographical overview of Professor Fiorini's career and achievements

02:18 - Bridging theoretical control and real-world application through robotics

03:16 - Key projects: surgical robotics: autonomy, safety, and certification

04:43 - The rise of Needle Eye Robotics in prostate cancer diagnosis and therapy

05:42 - The evolution of human-robot interaction and physical collaboration

07:11 - From segregated robots to immersive teaming: autonomy levels’ progression

08:38 - Telerobotics, telepresence, and the early days of autonomy in robotics

09:37 - AI development stages and risks: from neural networks to semantic control

10:55 - Shared control and the importance of reciprocal trust in human-robot interaction

12:29 - Ethical challenges in AI: emerging misbehavior and training data issues

13:52 - Control theory versus machine learning: stability and adaptability in robotics

14:19 - Ethical dilemmas and decision-making transparency in autonomous systems

15:14 - The practical limits of AI in safety-critical applications like surgery

16:21 - Mechanical constraints: managing the challenge of safe AI deployment

17:51 - The slow pace of legislative and standardization updates in robotics

19:05 - Advances in surgical robotics and autonomous assistance in interventions

20:14 - Data availability as a barrier in robotic surgery AI development

23:12 - Modeling complex surgical procedures with logic-based systems

25:33 - The unpredictability and creativity of human surgeons versus AI

26:37 - The use of haptics and tactile feedback in medical robotics

28:42 - The debate on force feedback benefits and user adaptation

30:16 - The significance of tactile sensing for learning, especially in soft tissues

33:09 - Challenges of sensory integration and synchronization in multi-modal feedback

35:14 - Future of AI: focused, reliable tools over general artificial intelligence

37:27 - Simulation as a trust-building tool and explanation of robotic actions

38:25 - Limitations of simulation in personalized medicine and soft tissue modeling

39:49 - AI in prostate cancer diagnosis: small steps with high societal impact

40:54 - The importance of balanced, practical solutions for human-robot collaboration

41:46 - The ongoing challenge of connecting generations and sharing experience

42:52 - Closing thoughts from Professor Fiorini and upcoming conferences.

Connect with Professor Fiorini:


Additional Notes:

  • The episode highlights the importance of focusing research on specific, impactful problems rather than pursuing overly broad AI goals.
  • The conversation emphasizes the ethical, safety, and explainability challenges in deploying AI and robotics in healthcare and other critical fields.
  • The integration of simulation and tactile feedback remains a key area for future research, especially in soft tissue robotics.

]]>Exploring Human-Robot Teaming: Insights from Professor Paolo Fiorini

In this episode of Among Us, Human-Robot Teaming, we sit down with robotics pioneer Professor Paolo Fiorini to discuss the evolution of robotic autonomy, ethics, and the future of collaboration between humans and machines. Discover his insights on surgical robotics, trust in AI, and the role of simulation and haptics in advancing human-robot interaction.

Main Topics:

  • The progression from isolated industrial robots to collaborative human-robot teaming
  • The role of autonomy levels, from teleoperation to autonomous systems
  • Challenges of trust, safety, and ethics in AI and robotics
  • Innovations in surgical robotics and the significance of tactile/haptic feedback
  • Future perspectives on specialized AI tools and the importance of simulation

Timestamps:00:45 - Introduction to Professor Fiorini and his pioneering work in robotics

01:27 - Biographical overview of Professor Fiorini's career and achievements

02:18 - Bridging theoretical control and real-world application through robotics

03:16 - Key projects: surgical robotics: autonomy, safety, and certification

04:43 - The rise of Needle Eye Robotics in prostate cancer diagnosis and therapy

05:42 - The evolution of human-robot interaction and physical collaboration

07:11 - From segregated robots to immersive teaming: autonomy levels’ progression

08:38 - Telerobotics, telepresence, and the early days of autonomy in robotics

09:37 - AI development stages and risks: from neural networks to semantic control

10:55 - Shared control and the importance of reciprocal trust in human-robot interaction

12:29 - Ethical challenges in AI: emerging misbehavior and training data issues

13:52 - Control theory versus machine learning: stability and adaptability in robotics

14:19 - Ethical dilemmas and decision-making transparency in autonomous systems

15:14 - The practical limits of AI in safety-critical applications like surgery

16:21 - Mechanical constraints: managing the challenge of safe AI deployment

17:51 - The slow pace of legislative and standardization updates in robotics

19:05 - Advances in surgical robotics and autonomous assistance in interventions

20:14 - Data availability as a barrier in robotic surgery AI development

23:12 - Modeling complex surgical procedures with logic-based systems

25:33 - The unpredictability and creativity of human surgeons versus AI

26:37 - The use of haptics and tactile feedback in medical robotics

28:42 - The debate on force feedback benefits and user adaptation

30:16 - The significance of tactile sensing for learning, especially in soft tissues

33:09 - Challenges of sensory integration and synchronization in multi-modal feedback

35:14 - Future of AI: focused, reliable tools over general artificial intelligence

37:27 - Simulation as a trust-building tool and explanation of robotic actions

38:25 - Limitations of simulation in personalized medicine and soft tissue modeling

39:49 - AI in prostate cancer diagnosis: small steps with high societal impact

40:54 - The importance of balanced, practical solutions for human-robot collaboration

41:46 - The ongoing challenge of connecting generations and sharing experience

42:52 - Closing thoughts from Professor Fiorini and upcoming conferences.

Connect with Professor Fiorini:


Additional Notes:

  • The episode highlights the importance of focusing research on specific, impactful problems rather than pursuing overly broad AI goals.
  • The conversation emphasizes the ethical, safety, and explainability challenges in deploying AI and robotics in healthcare and other critical fields.
  • The integration of simulation and tactile feedback remains a key area for future research, especially in soft tissue robotics.

]]>ee68b5cf-9a99-4f6b-919e-ef3a3d38a510Wed, 03 Jun 2026 03:00:00 -040049:44falsefullHow Speech & Visual Cues Are Transforming Human-Robot TeamingHow Speech & Visual Cues Are Transforming Human-Robot TeamingExploring Human-Robot Emotional Interaction with Omar Serghini

In this episode, Filippo Sanfilippo hosts Omar Serghini, a PhD researcher specializing in speech emotion recognition, spectrum sensing, and neuromorphic cameras, to discuss the future of human-robot teaming. They delve into how emotional awareness through speech and visual cues can transform collaborative AI systems, especially in healthcare and social contexts.

Key Topics:
  • The role of speech-emotional recognition in enhancing human-robot interaction
  • How prosody and vocal cues inform a robot’s understanding of human emotions
  • Spectrum sensing as a parallel for decision-making under uncertainty in robotics
  • The emergence of neuromorphic (event-based) cameras for dynamic scene perception
  • Moving from static to dynamic interaction through high-temporal-resolution sensors
  • Building multi-channel emotion recognition integrating speech, vision, and context
  • Challenges and ethical considerations in developing empathetic machines
  • Future prospects of AI in healthcare, elderly care, and emergency rescue scenarios
  • The importance of interdisciplinary collaboration for advancing emotional AI

Timestamps:

00:45 - Introduction to Omar Serghini and his research background

01:31 - The importance of emotional detection in human-robot teaming

02:58 - Speech emotion recognition: what it is and why it matters

05:15 - Using vocal cues like tone and rhythm to gauge confidence and hesitation

06:39 - How emotion detection helps robots adapt behavior and ensure safety

08:07 - The evolution of human-robot interaction from command-based to peer-like relationships

10:09 - Spectrum sensing as a metaphor for decision-making in robotics under uncertainty

12:15 - Robustness in noisy environments: lessons from spectrum sensing applied to robotics

16:11 - The role of neuromorphic (event-based) cameras in real-time emotion perception

17:39 - How event-based vision captures fast, subtle changes for dynamic interaction

22:53 - Integrating multiple sensory channels for a richer understanding of human emotions

25:21 - The potential and limitations of robotic empathy in social and care settings

27:22 - Ethical and cultural considerations in emotion recognition technology

28:47 - Challenges and future directions for emotion-aware AI in healthcare and safety

35:23 - Final thoughts on multidisciplinary collaboration and the future of emotional AI

Resources & Links:
  • Serghini, O., Serrano, S., Semlali, H., & Maali, A. (2024, September). Robust DNN-Enabled Cooperative Spectrum Sensing. In 2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) (pp. 1-6). IEEE.@

Connect with Omar Serghini:

Note:

This episode emphasizes the importance of integrating multiple sensory modalities for emotionally intelligent human-robot interactions and highlights ongoing interdisciplinary efforts to bring empathetic AI closer to human behavior.

]]>Exploring Human-Robot Emotional Interaction with Omar Serghini

In this episode, Filippo Sanfilippo hosts Omar Serghini, a PhD researcher specializing in speech emotion recognition, spectrum sensing, and neuromorphic cameras, to discuss the future of human-robot teaming. They delve into how emotional awareness through speech and visual cues can transform collaborative AI systems, especially in healthcare and social contexts.

Key Topics:
  • The role of speech-emotional recognition in enhancing human-robot interaction
  • How prosody and vocal cues inform a robot’s understanding of human emotions
  • Spectrum sensing as a parallel for decision-making under uncertainty in robotics
  • The emergence of neuromorphic (event-based) cameras for dynamic scene perception
  • Moving from static to dynamic interaction through high-temporal-resolution sensors
  • Building multi-channel emotion recognition integrating speech, vision, and context
  • Challenges and ethical considerations in developing empathetic machines
  • Future prospects of AI in healthcare, elderly care, and emergency rescue scenarios
  • The importance of interdisciplinary collaboration for advancing emotional AI

Timestamps:

00:45 - Introduction to Omar Serghini and his research background

01:31 - The importance of emotional detection in human-robot teaming

02:58 - Speech emotion recognition: what it is and why it matters

05:15 - Using vocal cues like tone and rhythm to gauge confidence and hesitation

06:39 - How emotion detection helps robots adapt behavior and ensure safety

08:07 - The evolution of human-robot interaction from command-based to peer-like relationships

10:09 - Spectrum sensing as a metaphor for decision-making in robotics under uncertainty

12:15 - Robustness in noisy environments: lessons from spectrum sensing applied to robotics

16:11 - The role of neuromorphic (event-based) cameras in real-time emotion perception

17:39 - How event-based vision captures fast, subtle changes for dynamic interaction

22:53 - Integrating multiple sensory channels for a richer understanding of human emotions

25:21 - The potential and limitations of robotic empathy in social and care settings

27:22 - Ethical and cultural considerations in emotion recognition technology

28:47 - Challenges and future directions for emotion-aware AI in healthcare and safety

35:23 - Final thoughts on multidisciplinary collaboration and the future of emotional AI

Resources & Links:
  • Serghini, O., Serrano, S., Semlali, H., & Maali, A. (2024, September). Robust DNN-Enabled Cooperative Spectrum Sensing. In 2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM) (pp. 1-6). IEEE.@

Connect with Omar Serghini:

Note:

This episode emphasizes the importance of integrating multiple sensory modalities for emotionally intelligent human-robot interactions and highlights ongoing interdisciplinary efforts to bring empathetic AI closer to human behavior.

]]>af3a2148-3ba4-4df3-8fa2-176febef2d48Wed, 20 May 2026 03:00:00 -040041:39falsefullHuman Activity Recognition for Human-Robot TeamingHuman Activity Recognition for Human-Robot TeamingInsights from Professor Florenc Demrozi. Explore how sensors, AI, and wearable technology are transforming human-robot collaboration, healthcare, and assisted living. Discover the vision of lifelong learning machines and their potential to evolve with us, aiding independence and safety.

Key Topics:

  • Evolution of human-robot interaction from isolation to collaboration
  • The role of sensors, wearables, and environmental context in human activity recognition
  • Challenges in data quality, AI modeling, and system safety for healthcare applications
  • The concept of robots as lifelong companions and lifelong learners
  • Future scenarios: robots as learning partners, safety enforcers, and co-evolving entities

Timestamps:

00:00 - Introduction to human-robot teaming and interview guest Professor Florenc Demrozi

01:16 - The historical transition from isolated robots to collaborative human-robot interaction

02:13 - The progression towards physical collaboration and shared space in human-robot teaming

02:43 - Recognizing human activity and intent through sensing and AI

03:12 - The importance of understanding human status within physical and environmental contexts

04:08 - How ubiquitous sensors and multi-modal data fusion advance healthcare robotics

05:10 - Applications in healthcare: Parkinson’s, Alzheimer’s, disabilities, and aging population challenges

09:17 - Robots in assisted living: coaching, teaching, and digital therapeutics

11:10 - Empowering the elderly: training and maintaining independence with robots

12:40 - Robots as lifelong companions, physical helpers, and co-learners

14:08 - Challenges of trust, reliability, safety, and real-time collaboration in human-robot teaming

15:02 - Controlling and ensuring safety of robots via constraints and innovative actuators

16:00 - Developing intrinsically safe and elastic actuators like human muscles

17:25 - Data quality, sensor noise, and AI model generalization challenges

20:50 - Regulatory hurdles and the necessity of validation for medical applications

21:51 - Generalization across different environments, sensors, and users

23:21 - Envisioning the future: robots as lifelong learning partners and companions

24:25 - The concept of the lifelong learning digital companion evolving with users

26:25 - Knowledge exchange between humans and machines, and eventual AI surpassing human knowledge in specific tasks

27:24 - Digital coaching systems: recognizing and blocking risky behaviors

28:22 - The vision of humans and robots as equal, continuously evolving partners

29:07 - The role of curiosity and ongoing research in advancing human-robot teaming

29:44 - Closing thoughts and a special message for the next generation of researchers

Resources & Links:


Connect with Professor Florenc Demrozi:


]]>Insights from Professor Florenc Demrozi. Explore how sensors, AI, and wearable technology are transforming human-robot collaboration, healthcare, and assisted living. Discover the vision of lifelong learning machines and their potential to evolve with us, aiding independence and safety.

Key Topics:

  • Evolution of human-robot interaction from isolation to collaboration
  • The role of sensors, wearables, and environmental context in human activity recognition
  • Challenges in data quality, AI modeling, and system safety for healthcare applications
  • The concept of robots as lifelong companions and lifelong learners
  • Future scenarios: robots as learning partners, safety enforcers, and co-evolving entities

Timestamps:

00:00 - Introduction to human-robot teaming and interview guest Professor Florenc Demrozi

01:16 - The historical transition from isolated robots to collaborative human-robot interaction

02:13 - The progression towards physical collaboration and shared space in human-robot teaming

02:43 - Recognizing human activity and intent through sensing and AI

03:12 - The importance of understanding human status within physical and environmental contexts

04:08 - How ubiquitous sensors and multi-modal data fusion advance healthcare robotics

05:10 - Applications in healthcare: Parkinson’s, Alzheimer’s, disabilities, and aging population challenges

09:17 - Robots in assisted living: coaching, teaching, and digital therapeutics

11:10 - Empowering the elderly: training and maintaining independence with robots

12:40 - Robots as lifelong companions, physical helpers, and co-learners

14:08 - Challenges of trust, reliability, safety, and real-time collaboration in human-robot teaming

15:02 - Controlling and ensuring safety of robots via constraints and innovative actuators

16:00 - Developing intrinsically safe and elastic actuators like human muscles

17:25 - Data quality, sensor noise, and AI model generalization challenges

20:50 - Regulatory hurdles and the necessity of validation for medical applications

21:51 - Generalization across different environments, sensors, and users

23:21 - Envisioning the future: robots as lifelong learning partners and companions

24:25 - The concept of the lifelong learning digital companion evolving with users

26:25 - Knowledge exchange between humans and machines, and eventual AI surpassing human knowledge in specific tasks

27:24 - Digital coaching systems: recognizing and blocking risky behaviors

28:22 - The vision of humans and robots as equal, continuously evolving partners

29:07 - The role of curiosity and ongoing research in advancing human-robot teaming

29:44 - Closing thoughts and a special message for the next generation of researchers

Resources & Links:


Connect with Professor Florenc Demrozi:


]]>1071f486-4805-402b-851a-e7593f6ae598Wed, 06 May 2026 03:00:00 -040035:35falsefullHow Snake Robots Could Revolutionize Human-Robot TeamingHow Snake Robots Could Revolutionize Human-Robot TeamingIn this episode, we delve into innovative research on bio-inspired snake robots and their transformative potential in disaster scenarios. Syed Kumayl Raza Moosavi, a PhD researcher, shares insights on how these modular, adaptable robots can navigate complex terrains, assist first responders, and enhance safety through autonomous aid delivery.

Key Topics:
  1. The bio-inspired design and modular structure of snake robots
  2. Applications in space exploration, search and rescue, and disaster environments
  3. How snake robots use terrain-aided locomotion and obstacle-aware navigation (POLl framework)
  4. Multi-robot systems integrating UAVs and snake robots for efficient aid delivery
  5. Future challenges: terrain adaptability, sensor integration, and real-world deployment
  6. Techniques for simulating and optimizing locomotion across varied friction surfaces
  7. Vision for human-robot teaming and autonomous decision-making in critical scenarios

Timestamps:
  1. (00:46) - Introduction to among us: human-robot teaming in disaster scenarios
  2. (01:25) - Why bio-inspired snake robots? Flexibility and navigability benefits
  3. (02:24) - Biological traits inspiring robotic design; multi-environment adaptability
  4. (03:17) - Unique capabilities of snake robots in space exploration
  5. (04:16) - Snake robots in search and rescue: navigating debris and collapsed structures
  6. (08:03) - Modular design and skin imitation for terrain adaptability
  7. (09:29) - Using snake robots across disaster phases: preparedness, response, recovery
  8. (12:27) - Autonomous assessment and aid delivery with heterogeneous robot teams
  9. (16:16) - Combining grasping, navigation, and aid dispatch in rescue operations
  10. (20:37) - Prototype development challenges: skin mimicking and multi-terrain locomotion
  11. (25:45) - Transfer from simulation to real-life deployment: friction and terrain transitions
  12. (29:28) - Future of snake robotics in planetary exploration and low-light environments
  13. (31:50) - The POLL framework and perception-driven obstacle-aided locomotion
  14. (33:17) - Advancing sensory and planning capabilities for complex tasks
  15. (34:14) - Collaborative opportunities and upcoming discussions on snake robotics
  16. (35:01) - Final reminder and closing remarks

Resources & Links:
  1. Filippo Sanfilippo, Jon Azpiazu, Giancarlo Marafioti, Aksel A. Transeth, Øyvind Stavdahl, and Pål Liljebäck. 2017. "Perception-Driven Obstacle-Aided Locomotion for Snake Robots: The State of the Art, Challenges and Possibilities" Applied Sciences 7, no. 4: 336. https://doi.org/10.3390/app7040336.
  2. Filippo Sanfilippo, Erlend Helgerud, Per Anders Stadheim, and Sondre Lieblein Aronsen. 2019. "Serpens: A Highly Compliant Low-Cost ROS-Based Snake Robot with Series Elastic Actuators, Stereoscopic Vision and a Screw-Less Assembly Mechanism" Applied Sciences 9, no. 3: 396. https://doi.org/10.3390/app9030396.
  3. Filippo Sanfilippo. "Combining grasping with adaptive path following and locomotion for modular snake robots." International Journal of Mechanical Engineering and Robotics Research 11, no. 2 (2022): 59-65.
  4. Filippo Sanfilippo, Øyvind Stavdahl, and Pål Liljebäck. "SnakeSIM: A ROS-based rapid-prototyping framework for perception-driven obstacle-aided locomotion of snake robots." In 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1226-1231. IEEE, 2017.
  5. Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, and Filippo Sanfilippo. "Collaborative robots (cobots) for disaster risk resilience: a framework for swarm of snake robots in delivering first aid in emergency situations." Frontiers in Robotics and AI 11 (2024): 1362294. doi: 10.3389/frobt.2024.1362294.
  6. Askan Duivon, Pino Kirsch, Boris Mauboussin, Gabriel Mougard, Jakub Woszczyk, and Filippo Sanfilippo. "The redesigned serpens, a low-cost, highly compliant snake robot." Robotics 11, no. 2 (2022): 42.
  7. Inaki Rañó, A. Gómez Eguíluz, and Filippo Sanfilippo. "Bridging the gap between bio-inspired steering and locomotion: A braitenberg 3a snake robot." In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 1394-1399. IEEE, 2018.

Connect with Kumail Raza:
  1. LinkedIn

Note:

For more detailed research papers and collaboration inquiries, visit the research group's official site here.

]]>In this episode, we delve into innovative research on bio-inspired snake robots and their transformative potential in disaster scenarios. Syed Kumayl Raza Moosavi, a PhD researcher, shares insights on how these modular, adaptable robots can navigate complex terrains, assist first responders, and enhance safety through autonomous aid delivery.

Key Topics:
  1. The bio-inspired design and modular structure of snake robots
  2. Applications in space exploration, search and rescue, and disaster environments
  3. How snake robots use terrain-aided locomotion and obstacle-aware navigation (POLl framework)
  4. Multi-robot systems integrating UAVs and snake robots for efficient aid delivery
  5. Future challenges: terrain adaptability, sensor integration, and real-world deployment
  6. Techniques for simulating and optimizing locomotion across varied friction surfaces
  7. Vision for human-robot teaming and autonomous decision-making in critical scenarios

Timestamps:
  1. (00:46) - Introduction to among us: human-robot teaming in disaster scenarios
  2. (01:25) - Why bio-inspired snake robots? Flexibility and navigability benefits
  3. (02:24) - Biological traits inspiring robotic design; multi-environment adaptability
  4. (03:17) - Unique capabilities of snake robots in space exploration
  5. (04:16) - Snake robots in search and rescue: navigating debris and collapsed structures
  6. (08:03) - Modular design and skin imitation for terrain adaptability
  7. (09:29) - Using snake robots across disaster phases: preparedness, response, recovery
  8. (12:27) - Autonomous assessment and aid delivery with heterogeneous robot teams
  9. (16:16) - Combining grasping, navigation, and aid dispatch in rescue operations
  10. (20:37) - Prototype development challenges: skin mimicking and multi-terrain locomotion
  11. (25:45) - Transfer from simulation to real-life deployment: friction and terrain transitions
  12. (29:28) - Future of snake robotics in planetary exploration and low-light environments
  13. (31:50) - The POLL framework and perception-driven obstacle-aided locomotion
  14. (33:17) - Advancing sensory and planning capabilities for complex tasks
  15. (34:14) - Collaborative opportunities and upcoming discussions on snake robotics
  16. (35:01) - Final reminder and closing remarks

Resources & Links:
  1. Filippo Sanfilippo, Jon Azpiazu, Giancarlo Marafioti, Aksel A. Transeth, Øyvind Stavdahl, and Pål Liljebäck. 2017. "Perception-Driven Obstacle-Aided Locomotion for Snake Robots: The State of the Art, Challenges and Possibilities" Applied Sciences 7, no. 4: 336. https://doi.org/10.3390/app7040336.
  2. Filippo Sanfilippo, Erlend Helgerud, Per Anders Stadheim, and Sondre Lieblein Aronsen. 2019. "Serpens: A Highly Compliant Low-Cost ROS-Based Snake Robot with Series Elastic Actuators, Stereoscopic Vision and a Screw-Less Assembly Mechanism" Applied Sciences 9, no. 3: 396. https://doi.org/10.3390/app9030396.
  3. Filippo Sanfilippo. "Combining grasping with adaptive path following and locomotion for modular snake robots." International Journal of Mechanical Engineering and Robotics Research 11, no. 2 (2022): 59-65.
  4. Filippo Sanfilippo, Øyvind Stavdahl, and Pål Liljebäck. "SnakeSIM: A ROS-based rapid-prototyping framework for perception-driven obstacle-aided locomotion of snake robots." In 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1226-1231. IEEE, 2017.
  5. Syed Kumayl Raza Moosavi, Muhammad Hamza Zafar, and Filippo Sanfilippo. "Collaborative robots (cobots) for disaster risk resilience: a framework for swarm of snake robots in delivering first aid in emergency situations." Frontiers in Robotics and AI 11 (2024): 1362294. doi: 10.3389/frobt.2024.1362294.
  6. Askan Duivon, Pino Kirsch, Boris Mauboussin, Gabriel Mougard, Jakub Woszczyk, and Filippo Sanfilippo. "The redesigned serpens, a low-cost, highly compliant snake robot." Robotics 11, no. 2 (2022): 42.
  7. Inaki Rañó, A. Gómez Eguíluz, and Filippo Sanfilippo. "Bridging the gap between bio-inspired steering and locomotion: A braitenberg 3a snake robot." In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 1394-1399. IEEE, 2018.

Connect with Kumail Raza:
  1. LinkedIn

Note:

For more detailed research papers and collaboration inquiries, visit the research group's official site here.

]]>a71a68e4-776d-4e5b-b046-44b1afe270aeWed, 22 Apr 2026 03:00:00 -040040:39falsefullHow Passion Will Inspire Advances in Human-Robot TeamingHow Passion Will Inspire Advances in Human-Robot TeamingJoin us in this inspiring episode featuring Professor Bruno Siciliano, a pioneer in robotics and a highly esteemed IEEE Fellow. We explore his incredible journey, the role of passion in research, and the future of human-robot collaboration. Discover how soccer, culture, and scientific innovation intertwine to shape the next era of robotics.
Main Topics Discussed:
  1. The influence of passion, especially football and culture, on robotics innovation
  2. The concept of human-robot teaming and shared autonomy
  3. Barriers, standards, and the global landscape of robotics development
  4. The ethical and societal implications of technological progress
  5. Inspirational advice for future generations of researchers

In this episode:
  1. Professor Siciliano recounts his lifelong passion for Napoli football and its influence on his creativity
  2. Insight into the potential of collaborative autonomy and the balance between control and compliance
  3. Examples of unexpected applications of robotics, from fashion industry to surgical tools
  4. The importance of cultural, societal, and international perspectives in shaping robotics standards
  5. Personal stories of mentorship, international cooperation, and the responsibility of future innovators
  6. The vision of a seamless, human-centered future powered by physical AI and hyper-connectivity

Timestamps:

00:00 - Welcome and introduction to Professor Siciliano's impact in robotics

01:13 - The significance of his research and cultural background

02:33 - Passion for football and its influence on engineering creativity

03:43 - The role of adrenaline and emotional engagement in research and teaching

05:03 - The social and cultural insights from stadium visits across Europe

06:44 - Creativity inspired by local city culture and its impact on innovations

09:14 - The story behind the ERC grant and the pizza robot demonstrator

11:44 - Robotics as a societally inspired pursuit rooted in cultural identity

12:45 - The sociological dimension of human-robot interaction in urban environments

13:14 - Gesticulation, cultural behaviors, and AI training datasets

14:43 - The importance of sensory development and education in human evolution

15:42 - Interdisciplinary approaches and cross-fertilization between robotics and other fields

16:09 - Teaching beyond textbooks: inspiring the next generation

18:11 - Student assessments, ethics in education, and the value of understanding concepts

20:14 - The role of AI and accessible knowledge in democratizing robotics

22:29 - The founding of the "Technology Humanism" initiative and societal responsibilities

23:51 - Creativity as a driver for research and the symbolic link to soccer

24:37 - Imagining robots playing soccer and rethinking human-robot interaction

25:14 - Supporting and connecting people across disciplines for innovative collaborations

33:42 - The potential of joint human-robot creative endeavors and storytelling

34:00 - The importance of shared control and the blending roles in human-robot teaming

50:53 - The balance between control, safety, and social acceptability in robots

54:43 - The emerging era of diverse robotic systems beyond humanoids

59:34 - The future of design, control, and integration in robotics

60:00 - The establishment of Stanford’s new Robotics Center and the pillars of modern robotics

61:10 - The four pillars: Knowledge, Design, Interaction, Impact

65:21 - Shared emotions, the human side of robotics, and the euphoria of technological progress

66:15 - Barriers to human-robot teaming and strategies to overcome them

70:38 - Unexpected applications of robotics (surgical, industrial, assistive)

75:29 - Enabling new applications, from virtual guides to assistive devices

79:31 - Rethinking the human-robot relationship and the evolution of “robots” into collaborative partners

82:29 - Standards, regulations, and international differences in robotics development

90:22 - The potential of robotics to bridge cultural and societal gaps

94:08 - The importance of interdisciplinary and international cooperation for future progress

99:50 - Visions of the future: technological, emotional, and societal changes in the next decades

104:37 - The responsibility of today’s scientists and engineers to preserve emotional and cultural legacies

115:41 - Final reflections: inspiring the next generation to dream bigger and collaborate globally

Resources & Links:
  1. Even Falkenberg Langås, Muhammad Hamza Zafar, and Filippo Sanfilippo. "Exploring the synergy of human-robot teaming, digital twins, and machine learning in Industry 5.0: a step towards sustainable manufacturing." Journal of Intelligent Manufacturing 37, no. 3 (2026): 999-1022. https://doi.org/10.1007/s10845-025-02580-x.
  2. Filippo Sanfilippo, Timothy Wiley, and Rebekah Rousi. "Robocup soccer autonomy uprising: How crowds, referees, and humanoid robots are redefining the future of human-robot interaction." In 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 1131-1139. IEEE, 2025. doi: https://10.1109/HRI61500.2025.10974154.
  3. Filippo Sanfilippo, Muhammad Hamza Zafar, Timothy Wiley, and Fabio Zambetta. "From caged robots to high-fives in robotics: Exploring the paradigm shift from human–robot interaction to human–robot teaming in human–machine interfaces." Journal of Manufacturing Systems 78 (2025): 1-25. https://doi.org/10.1016/j.jmsy.2024.10.015.

Connect with Professor Siciliano:
  1. LinkedIn

This episode encapsulates the synergy between passion, culture, and scientific curiosity, demonstrating that the future of robotics is fundamentally human-centered and inspired by shared dreams and responsibilities.

]]>Join us in this inspiring episode featuring Professor Bruno Siciliano, a pioneer in robotics and a highly esteemed IEEE Fellow. We explore his incredible journey, the role of passion in research, and the future of human-robot collaboration. Discover how soccer, culture, and scientific innovation intertwine to shape the next era of robotics.
Main Topics Discussed:
  1. The influence of passion, especially football and culture, on robotics innovation
  2. The concept of human-robot teaming and shared autonomy
  3. Barriers, standards, and the global landscape of robotics development
  4. The ethical and societal implications of technological progress
  5. Inspirational advice for future generations of researchers

In this episode:
  1. Professor Siciliano recounts his lifelong passion for Napoli football and its influence on his creativity
  2. Insight into the potential of collaborative autonomy and the balance between control and compliance
  3. Examples of unexpected applications of robotics, from fashion industry to surgical tools
  4. The importance of cultural, societal, and international perspectives in shaping robotics standards
  5. Personal stories of mentorship, international cooperation, and the responsibility of future innovators
  6. The vision of a seamless, human-centered future powered by physical AI and hyper-connectivity

Timestamps:

00:00 - Welcome and introduction to Professor Siciliano's impact in robotics

01:13 - The significance of his research and cultural background

02:33 - Passion for football and its influence on engineering creativity

03:43 - The role of adrenaline and emotional engagement in research and teaching

05:03 - The social and cultural insights from stadium visits across Europe

06:44 - Creativity inspired by local city culture and its impact on innovations

09:14 - The story behind the ERC grant and the pizza robot demonstrator

11:44 - Robotics as a societally inspired pursuit rooted in cultural identity

12:45 - The sociological dimension of human-robot interaction in urban environments

13:14 - Gesticulation, cultural behaviors, and AI training datasets

14:43 - The importance of sensory development and education in human evolution

15:42 - Interdisciplinary approaches and cross-fertilization between robotics and other fields

16:09 - Teaching beyond textbooks: inspiring the next generation

18:11 - Student assessments, ethics in education, and the value of understanding concepts

20:14 - The role of AI and accessible knowledge in democratizing robotics

22:29 - The founding of the "Technology Humanism" initiative and societal responsibilities

23:51 - Creativity as a driver for research and the symbolic link to soccer

24:37 - Imagining robots playing soccer and rethinking human-robot interaction

25:14 - Supporting and connecting people across disciplines for innovative collaborations

33:42 - The potential of joint human-robot creative endeavors and storytelling

34:00 - The importance of shared control and the blending roles in human-robot teaming

50:53 - The balance between control, safety, and social acceptability in robots

54:43 - The emerging era of diverse robotic systems beyond humanoids

59:34 - The future of design, control, and integration in robotics

60:00 - The establishment of Stanford’s new Robotics Center and the pillars of modern robotics

61:10 - The four pillars: Knowledge, Design, Interaction, Impact

65:21 - Shared emotions, the human side of robotics, and the euphoria of technological progress

66:15 - Barriers to human-robot teaming and strategies to overcome them

70:38 - Unexpected applications of robotics (surgical, industrial, assistive)

75:29 - Enabling new applications, from virtual guides to assistive devices

79:31 - Rethinking the human-robot relationship and the evolution of “robots” into collaborative partners

82:29 - Standards, regulations, and international differences in robotics development

90:22 - The potential of robotics to bridge cultural and societal gaps

94:08 - The importance of interdisciplinary and international cooperation for future progress

99:50 - Visions of the future: technological, emotional, and societal changes in the next decades

104:37 - The responsibility of today’s scientists and engineers to preserve emotional and cultural legacies

115:41 - Final reflections: inspiring the next generation to dream bigger and collaborate globally

Resources & Links:
  1. Even Falkenberg Langås, Muhammad Hamza Zafar, and Filippo Sanfilippo. "Exploring the synergy of human-robot teaming, digital twins, and machine learning in Industry 5.0: a step towards sustainable manufacturing." Journal of Intelligent Manufacturing 37, no. 3 (2026): 999-1022. https://doi.org/10.1007/s10845-025-02580-x.
  2. Filippo Sanfilippo, Timothy Wiley, and Rebekah Rousi. "Robocup soccer autonomy uprising: How crowds, referees, and humanoid robots are redefining the future of human-robot interaction." In 2025 20th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 1131-1139. IEEE, 2025. doi: https://10.1109/HRI61500.2025.10974154.
  3. Filippo Sanfilippo, Muhammad Hamza Zafar, Timothy Wiley, and Fabio Zambetta. "From caged robots to high-fives in robotics: Exploring the paradigm shift from human–robot interaction to human–robot teaming in human–machine interfaces." Journal of Manufacturing Systems 78 (2025): 1-25. https://doi.org/10.1016/j.jmsy.2024.10.015.

Connect with Professor Siciliano:
  1. LinkedIn

This episode encapsulates the synergy between passion, culture, and scientific curiosity, demonstrating that the future of robotics is fundamentally human-centered and inspired by shared dreams and responsibilities.

]]>5aa5a620-18b5-4b2a-94bd-8c49f93c6c51Wed, 08 Apr 2026 03:00:00 -040002:02:27falsefullSpecial Episode: European Robotics Forum (ERF) 2026Special Episode: European Robotics Forum (ERF) 2026Recorded live at the European Robotics Forum 2026 in Stavanger, this special episode of Among Us: Human–Robot Teaming takes you inside one of Europe’s most important robotics gatherings—through conversations, demos, and cutting-edge research.

This is not theory. This is what robotics actually looks like today.

🎤 Who You’ll Hear in This Episode

🔹 Opening Perspective: The Vision Behind ERF

We start with Nabil Belbachir, organizer of ERF, discussing:

  1. The strategic direction of robotics in Europe
  2. Where industry and research are actually converging
  3. Why events like ERF matter beyond networking

🔹 Bio-Inspired Flight & Flapping Drones

Next, a fascinating discussion with Matěj Karásek from Flapper Drones:

  1. How flapping-wing drones differ from traditional UAVs
  2. The role of bio-inspired design in robotics
  3. Real-world applications where conventional drones fail

🔹 Precision Haptics & Human Interaction

We then speak with Marco Aggravi, Project Manager and R&D Engineer at Haption:

  1. High-fidelity force feedback systems
  2. The role of haptics in teleoperation and training
  3. Why touch is still the missing piece in many robotic systems

🔹 Live Demo: Immersive Interaction with SenseGlove

A hands-on demo with SenseGlove showcases:

  1. Real-time haptic feedback in virtual and robotic environments
  2. Applications in training, simulation, and remote manipulation
  3. The transition from demo tech → deployable systems

🔹 Research Spotlight: Human Trajectory Prediction

The episode concludes with a presentation of the paper:

“Transformer-Based Human Trajectory Prediction in Manufacturing Settings”

Authored by:

  1. Even Langås
  2. Atle Aalerud
  3. Daniel Hagen
  4. Filippo Sanfilippo

Key ideas explored:

  1. Predicting human motion in industrial environments
  2. Using transformer architectures for temporal modeling
  3. Improving safety and fluency in human–robot collaboration

🧠 What Connects All of This?

At first glance, these look like separate topics:

  1. Event organization
  2. Bio-inspired drones
  3. Haptics
  4. Wearable interfaces
  5. AI-based trajectory prediction

They’re not.

They all point toward one thing:

👉 Robots that understand, adapt, and physically interact with humans in real environments

⚙️ The Real Insight (No Sugarcoating)

Most robotics systems today:

  1. Perceive poorly
  2. Predict weakly
  3. Interact unnaturally

This episode shows what it takes to fix that:

  1. Better sensing (event cameras, multimodal systems)
  2. Better prediction (transformers, temporal models)
  3. Better interaction (haptics, wearable feedback)

🎯 Who This Episode Is For

  1. Robotics researchers and PhD students
  2. Engineers working on HRI/HRC systems
  3. Anyone serious about moving from demos → deployable systems

🚀 Final Takeaway

If you want real human–robot teaming, you need to combine:

  1. Perception + Prediction + Physical Interaction

Miss one—and your system breaks in the real world.

]]>Recorded live at the European Robotics Forum 2026 in Stavanger, this special episode of Among Us: Human–Robot Teaming takes you inside one of Europe’s most important robotics gatherings—through conversations, demos, and cutting-edge research.

This is not theory. This is what robotics actually looks like today.

🎤 Who You’ll Hear in This Episode

🔹 Opening Perspective: The Vision Behind ERF

We start with Nabil Belbachir, organizer of ERF, discussing:

  1. The strategic direction of robotics in Europe
  2. Where industry and research are actually converging
  3. Why events like ERF matter beyond networking

🔹 Bio-Inspired Flight & Flapping Drones

Next, a fascinating discussion with Matěj Karásek from Flapper Drones:

  1. How flapping-wing drones differ from traditional UAVs
  2. The role of bio-inspired design in robotics
  3. Real-world applications where conventional drones fail

🔹 Precision Haptics & Human Interaction

We then speak with Marco Aggravi, Project Manager and R&D Engineer at Haption:

  1. High-fidelity force feedback systems
  2. The role of haptics in teleoperation and training
  3. Why touch is still the missing piece in many robotic systems

🔹 Live Demo: Immersive Interaction with SenseGlove

A hands-on demo with SenseGlove showcases:

  1. Real-time haptic feedback in virtual and robotic environments
  2. Applications in training, simulation, and remote manipulation
  3. The transition from demo tech → deployable systems

🔹 Research Spotlight: Human Trajectory Prediction

The episode concludes with a presentation of the paper:

“Transformer-Based Human Trajectory Prediction in Manufacturing Settings”

Authored by:

  1. Even Langås
  2. Atle Aalerud
  3. Daniel Hagen
  4. Filippo Sanfilippo

Key ideas explored:

  1. Predicting human motion in industrial environments
  2. Using transformer architectures for temporal modeling
  3. Improving safety and fluency in human–robot collaboration

🧠 What Connects All of This?

At first glance, these look like separate topics:

  1. Event organization
  2. Bio-inspired drones
  3. Haptics
  4. Wearable interfaces
  5. AI-based trajectory prediction

They’re not.

They all point toward one thing:

👉 Robots that understand, adapt, and physically interact with humans in real environments

⚙️ The Real Insight (No Sugarcoating)

Most robotics systems today:

  1. Perceive poorly
  2. Predict weakly
  3. Interact unnaturally

This episode shows what it takes to fix that:

  1. Better sensing (event cameras, multimodal systems)
  2. Better prediction (transformers, temporal models)
  3. Better interaction (haptics, wearable feedback)

🎯 Who This Episode Is For

  1. Robotics researchers and PhD students
  2. Engineers working on HRI/HRC systems
  3. Anyone serious about moving from demos → deployable systems

🚀 Final Takeaway

If you want real human–robot teaming, you need to combine:

  1. Perception + Prediction + Physical Interaction

Miss one—and your system breaks in the real world.

]]>f97ebb49-0998-4c0d-9913-f76e55ea361cMon, 30 Mar 2026 03:00:00 -040001:00:54falsefullBilateral Communication Between Humans and Robots as the Future of Human-Robot TeamingBilateral Communication Between Humans and Robots as the Future of Human-Robot TeamingIn this episode, Dr. Gionata Salvietti shares groundbreaking perspectives on human-robot collaboration, emphasizing the crucial role of tactile feedback and multisensory interaction. Discover the advances in robotic hand manipulation, sensory integration, and how these innovations are paving the way for more seamless and intuitive teaming between humans and robots.

Key Topics:
  1. The evolving definition and importance of human-robot teaming
  2. Bilateral and multi-modal communication channels, especially touch
  3. The biological basis and engineering of tactile feedback in robotics
  4. Synergies and compliance in robotic hand control
  5. The concept of augmentation: from sixth fingers to assistive robotics
  6. Transition from prototypes to commercialization with companies like Sixto
  7. Challenges in sensor development, including robust e-skin technology
  8. Ethical considerations and societal implications of robotics revolution
  9. The future trajectory of AI-powered multisensory integration

Timestamps:

00:00 - Introduction to human-robot teaming and its significance

02:25 - Defining human-robot collaboration in a rapidly evolving context

03:49 - The bilateral communication channel for effective teaming

04:54 - Moving towards balanced human-robot interactions

07:15 - The role of touch and tactile feedback in communication

08:44 - How biological tactile interactions inspire robotic hand design

10:08 - The importance of emotional and functional touch in humans

11:17 - Using touch for guidance irrespective of sight and hearing impairments

12:44 - Historical overview of sensory technology, focusing on touch

14:24 - The revolutionary potential of recording and reproducing tactile interactions

15:44 - The integration of multiple senses and multisensory teaming

17:15 - Manipulation synergies and brain-inspired control strategies

18:47 - Simplifying control through synergies and compliance in robotics

20:16 - The concept of invisible threads and brain's organization of hand movements

21:39 - The brain's management of hand complexity and use of compliance

23:50 - The impact of synergy and compliance on collaborative manipulation

26:01 - Exploring augmentation: the story of the sixth finger

28:52 - Assistive robotics: aiding stroke patients with robotic augmentations

31:47 - The pathway from prototypes to commercial products (e.g., Sixto)

34:25 - Scaling devices for education and medical training

35:23 - Main barriers and future challenges for human-robot teaming

37:40 - Sensor technology limitations and future directions

39:50 - The importance of standards, safety, and societal acceptance

42:14 - The societal impact, fears, and opportunities of robotics revolution

44:57 - Cross-disciplinary collaboration and the role of AI in sensor networks

46:16 - Final thoughts and encouragement for active engagement in the field

Resources & Links:
  1. Domenico Prattichizzo's research group
  2. ImmersiveSurgicalEdu

Connect with Gionata Salvietti:
  1. LinkedIn

Research Articles:
  1. Filippo Sanfilippo, Gionata Salvietti, Tomas Blazauskas, Guido Gabriele, Maria Zafar, Minh Tuan Hua, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Patrikas Armalis, Mohammad Poursina, Povilas Ignatavicius, Andrejus Subocius, Audrius Parseliunas, Ernest Margelis. “Integrating VR, AR, and haptics in basic surgical skills training: a review and perspective.” IEEE Access (2025), doi: 10.1109/ACCESS.2025.3574265.
  2. Filippo Sanfilippo, Tomas Blazauskas, Gionata Salvietti, Isabel Ramos, Silviu Vert, Jaziar Radianti, Tim A. Majchrzak, and Daniel Oliveira. 2022. "A Perspective Review on Integrating VR/AR with Haptics into STEM Education for Multi-Sensory Learning" Robotics 11, no. 2: 41. https://doi.org/10.3390/robotics11020041.
  3. Filippo Sanfilippo, Tomas Blažauskas, Martynas Girdžiūna, Airidas Janonis, Eligijus Kiudys, and Gionata Salvietti. "A multi-modal auditory-visual-tactile e-learning framework." In International conference on intelligent technologies and applications, pp. 119-131. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-031-10525-8_10.
  4. Filippo Sanfilippo, Houxiang Zhang, Kristin Ytterstad Pettersen, Gionata Salvietti, and Domenico Prattichizzo. "ModGrasp: an open-source rapid-prototyping framework for designing low-cost sensorised modular hands." In 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, pp. 951-957. IEEE, 2014. doi: 10.1109/BIOROB.2014.6913903.
  5. Filippo Sanfilippo, Gionata Salvietti, H. X. Zhang, Hans Petter Hildre, and Domenico Prattichizzo. "Efficient modular grasping: an iterative approach." In 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), pp. 1281-1286. IEEE, 2012. https://10.0.4.85/BioRob.2012.6290693.

Additional Notes:

This episode highlights the importance of multidisciplinary approaches—combining neuroscience, robotics, AI, and design—to address the challenges and unlock the full potential of human-robot teaming. We also discuss societal implications, ethical considerations, and the accelerating pace of technological change.

]]>In this episode, Dr. Gionata Salvietti shares groundbreaking perspectives on human-robot collaboration, emphasizing the crucial role of tactile feedback and multisensory interaction. Discover the advances in robotic hand manipulation, sensory integration, and how these innovations are paving the way for more seamless and intuitive teaming between humans and robots.

Key Topics:
  1. The evolving definition and importance of human-robot teaming
  2. Bilateral and multi-modal communication channels, especially touch
  3. The biological basis and engineering of tactile feedback in robotics
  4. Synergies and compliance in robotic hand control
  5. The concept of augmentation: from sixth fingers to assistive robotics
  6. Transition from prototypes to commercialization with companies like Sixto
  7. Challenges in sensor development, including robust e-skin technology
  8. Ethical considerations and societal implications of robotics revolution
  9. The future trajectory of AI-powered multisensory integration

Timestamps:

00:00 - Introduction to human-robot teaming and its significance

02:25 - Defining human-robot collaboration in a rapidly evolving context

03:49 - The bilateral communication channel for effective teaming

04:54 - Moving towards balanced human-robot interactions

07:15 - The role of touch and tactile feedback in communication

08:44 - How biological tactile interactions inspire robotic hand design

10:08 - The importance of emotional and functional touch in humans

11:17 - Using touch for guidance irrespective of sight and hearing impairments

12:44 - Historical overview of sensory technology, focusing on touch

14:24 - The revolutionary potential of recording and reproducing tactile interactions

15:44 - The integration of multiple senses and multisensory teaming

17:15 - Manipulation synergies and brain-inspired control strategies

18:47 - Simplifying control through synergies and compliance in robotics

20:16 - The concept of invisible threads and brain's organization of hand movements

21:39 - The brain's management of hand complexity and use of compliance

23:50 - The impact of synergy and compliance on collaborative manipulation

26:01 - Exploring augmentation: the story of the sixth finger

28:52 - Assistive robotics: aiding stroke patients with robotic augmentations

31:47 - The pathway from prototypes to commercial products (e.g., Sixto)

34:25 - Scaling devices for education and medical training

35:23 - Main barriers and future challenges for human-robot teaming

37:40 - Sensor technology limitations and future directions

39:50 - The importance of standards, safety, and societal acceptance

42:14 - The societal impact, fears, and opportunities of robotics revolution

44:57 - Cross-disciplinary collaboration and the role of AI in sensor networks

46:16 - Final thoughts and encouragement for active engagement in the field

Resources & Links:
  1. Domenico Prattichizzo's research group
  2. ImmersiveSurgicalEdu

Connect with Gionata Salvietti:
  1. LinkedIn

Research Articles:
  1. Filippo Sanfilippo, Gionata Salvietti, Tomas Blazauskas, Guido Gabriele, Maria Zafar, Minh Tuan Hua, Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Patrikas Armalis, Mohammad Poursina, Povilas Ignatavicius, Andrejus Subocius, Audrius Parseliunas, Ernest Margelis. “Integrating VR, AR, and haptics in basic surgical skills training: a review and perspective.” IEEE Access (2025), doi: 10.1109/ACCESS.2025.3574265.
  2. Filippo Sanfilippo, Tomas Blazauskas, Gionata Salvietti, Isabel Ramos, Silviu Vert, Jaziar Radianti, Tim A. Majchrzak, and Daniel Oliveira. 2022. "A Perspective Review on Integrating VR/AR with Haptics into STEM Education for Multi-Sensory Learning" Robotics 11, no. 2: 41. https://doi.org/10.3390/robotics11020041.
  3. Filippo Sanfilippo, Tomas Blažauskas, Martynas Girdžiūna, Airidas Janonis, Eligijus Kiudys, and Gionata Salvietti. "A multi-modal auditory-visual-tactile e-learning framework." In International conference on intelligent technologies and applications, pp. 119-131. Cham: Springer International Publishing, 2021. https://doi.org/10.1007/978-3-031-10525-8_10.
  4. Filippo Sanfilippo, Houxiang Zhang, Kristin Ytterstad Pettersen, Gionata Salvietti, and Domenico Prattichizzo. "ModGrasp: an open-source rapid-prototyping framework for designing low-cost sensorised modular hands." In 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, pp. 951-957. IEEE, 2014. doi: 10.1109/BIOROB.2014.6913903.
  5. Filippo Sanfilippo, Gionata Salvietti, H. X. Zhang, Hans Petter Hildre, and Domenico Prattichizzo. "Efficient modular grasping: an iterative approach." In 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), pp. 1281-1286. IEEE, 2012. https://10.0.4.85/BioRob.2012.6290693.

Additional Notes:

This episode highlights the importance of multidisciplinary approaches—combining neuroscience, robotics, AI, and design—to address the challenges and unlock the full potential of human-robot teaming. We also discuss societal implications, ethical considerations, and the accelerating pace of technological change.

]]>eef2c6bb-0293-4ecd-b15b-fd5e20be8e54Wed, 25 Mar 2026 03:00:00 -040049:55falsefullWhen Robots Become Teammates: Sensors, Digital Twins, and the Rise of Human-Centric AIWhen Robots Become Teammates: Sensors, Digital Twins, and the Rise of Human-Centric AIJoin us in this episode as we explore the cutting-edge developments in human-robot collaboration, emphasizing sensor technologies, gesture-based interfaces, privacy preservation, and emotional understanding. Hamza Zafar shares insights from his PhD research, highlighting how new sensors and algorithms are transforming the way humans and robots work together safely and intuitively.

Main Topics Covered:
  1. The evolution and impact of gesture-based interfaces in human-robot teaming
  2. The role of neuromorphic event cameras versus traditional RGB cameras
  3. Privacy-preserving techniques such as federated learning in sensor data
  4. Integration of digital twins and Industry 5.0 for dynamic, human-centric environments
  5. Predicting human intentions and emotional states to enhance collaboration
  6. Future perspectives: robots cohabiting living spaces, especially aiding elderly people

Timestamps:

00:00 - Introduction to "Among Us" podcast and episode theme

01:23 - High-level overview of human-robot teaming and core elements

04:16 - Hamza discusses gesture-based interfaces and sensor types

05:36 - Sensors used in human-robot interaction: RGB, EMG, neuromorphic cameras

07:18 - Privacy-preserving methods in gesture recognition using federated learning

09:09 - Differences between traditional and predictive gesture interfaces

10:54 - Real-time limb and hand tracking for improved robot responsiveness

13:40 - Merging digital twins with machine learning for Industry 5.0

16:17 - Ensuring safety and risk mitigation via digital twins

17:25 - Future visions: robots living with humans, especially the elderly

20:50 - Incorporating emotion prediction and physiological sensing

23:33 - Physiological vs non-verbal emotion recognition for adaptive systems

26:27 - The importance of interdisciplinary collaboration in advancing HRT

28:24 - Neuromorphic event cameras: how they work and their advantages

32:49 - Summary of benefits of event cameras: efficiency, privacy, low data load

34:17 - Final thoughts, collaborations, and closing remarks

Resources & Links:
  1. Hamza Zafar's Scholar Profile
  2. Exploring the synergies between collaborative robotics, digital twins, augmentation, and industry 5.0 for smart manufacturing: A state-of-the-art review
  3. Empowering Human-Robot Interaction Using sEMG Sensor: Hybrid Deep Learning Model for Accurate Hand Gesture Recognition
  4. Federated learning-enhanced edge deep learning model for EMG-based gesture recognition in real-time human–robot interaction
  5. Harmony unleashed: Exploring the ethical and philosophical aspects of machine learning in human-robot collaboration for industry 5.0

Connect with Hamza:
  1. LinkedIn

In this episode, we bridge the latest technological advancements with the ethical and human-centered considerations essential for safe and effective human-robot collaboration.

]]>Join us in this episode as we explore the cutting-edge developments in human-robot collaboration, emphasizing sensor technologies, gesture-based interfaces, privacy preservation, and emotional understanding. Hamza Zafar shares insights from his PhD research, highlighting how new sensors and algorithms are transforming the way humans and robots work together safely and intuitively.

Main Topics Covered:
  1. The evolution and impact of gesture-based interfaces in human-robot teaming
  2. The role of neuromorphic event cameras versus traditional RGB cameras
  3. Privacy-preserving techniques such as federated learning in sensor data
  4. Integration of digital twins and Industry 5.0 for dynamic, human-centric environments
  5. Predicting human intentions and emotional states to enhance collaboration
  6. Future perspectives: robots cohabiting living spaces, especially aiding elderly people

Timestamps:

00:00 - Introduction to "Among Us" podcast and episode theme

01:23 - High-level overview of human-robot teaming and core elements

04:16 - Hamza discusses gesture-based interfaces and sensor types

05:36 - Sensors used in human-robot interaction: RGB, EMG, neuromorphic cameras

07:18 - Privacy-preserving methods in gesture recognition using federated learning

09:09 - Differences between traditional and predictive gesture interfaces

10:54 - Real-time limb and hand tracking for improved robot responsiveness

13:40 - Merging digital twins with machine learning for Industry 5.0

16:17 - Ensuring safety and risk mitigation via digital twins

17:25 - Future visions: robots living with humans, especially the elderly

20:50 - Incorporating emotion prediction and physiological sensing

23:33 - Physiological vs non-verbal emotion recognition for adaptive systems

26:27 - The importance of interdisciplinary collaboration in advancing HRT

28:24 - Neuromorphic event cameras: how they work and their advantages

32:49 - Summary of benefits of event cameras: efficiency, privacy, low data load

34:17 - Final thoughts, collaborations, and closing remarks

Resources & Links:
  1. Hamza Zafar's Scholar Profile
  2. Exploring the synergies between collaborative robotics, digital twins, augmentation, and industry 5.0 for smart manufacturing: A state-of-the-art review
  3. Empowering Human-Robot Interaction Using sEMG Sensor: Hybrid Deep Learning Model for Accurate Hand Gesture Recognition
  4. Federated learning-enhanced edge deep learning model for EMG-based gesture recognition in real-time human–robot interaction
  5. Harmony unleashed: Exploring the ethical and philosophical aspects of machine learning in human-robot collaboration for industry 5.0

Connect with Hamza:
  1. LinkedIn

In this episode, we bridge the latest technological advancements with the ethical and human-centered considerations essential for safe and effective human-robot collaboration.

]]>a4f9b351-e672-4125-afd7-cfedceffe7e0Wed, 11 Mar 2026 03:00:00 -040039:07falsefullEmotional Intelligence in Human-Robot TeamingEmotional Intelligence in Human-Robot TeamingIn this episode, we explore the evolving field of human-robot teaming (HRT), emphasizing the importance of understanding human psychology, nonverbal communication, and ethical considerations in creating trustworthy and effective robotic partners. Our guest, Dr. Cristina Brasi, brings her expertise in forensic psychology and behavioral analysis to shed light on how robots can better read and respond to human cues, especially in high-pressure environments.

Key Topics

  1. The evolution of human-robot interaction from isolated robots to collaborative teams
  2. The role of sensors, actuators, and algorithms in enabling effective teaming
  3. The importance of personalized behavioral calibration over universal models
  4. Recognizing behavioral leakage and micro-expressions to interpret true emotions
  5. Cognitive ergonomics: tailoring robotic communication to individual neural profiles
  6. Challenges and risks of robot misinterpretation in emergency and stressful scenarios
  7. Designing transparent and predictable robots to foster trust
  8. The ethical implications of robots analyzing micro-expressions and emotional states
  9. The vision of a future where robots recognize and respect the complex social fabric of human life
  10. Bridging the "invisible barrier" and liberating both humans and machines for more harmonious coexistence

Timestamps

00:00 - Introduction to human-robot teaming and its significance

03:08 - Why robots need to move beyond mere automation and towards true collaboration

04:32 - The evolution from industrial robots to physical and shared space teaming

05:29 - Critical elements for effective human-robot interaction: sensors, actuators, algorithms

06:56 - The importance of humanizing robots through emotional and behavioral understanding

12:21 - The story behind naming the robot "Ambroggio" and symbolic meaning

13:43 - Identifying gaps between robotics and behavioral sciences

14:12 - Personalizing robotic responses through behavioral signatures and leakage detection

15:11 - Moving from action recognition to intent recognition in robots

16:08 - Embracing cognitive ergonomics and adapting to diverse neural profiles

18:28 - Risks of misinterpreting signals in emergency rescue environments

19:38 - Distinguishing pain vs. deception through micro-dynamic gesture analysis

20:35 - The importance of social fluency and subtle cues in high-stakes scenarios

22:27 - Defining successful human-robot non-verbal collaboration: trust, transparency, predictability

24:20 - Designing robots that display their internal states visually for better predictability

27:35 - The future potential of human-robot teaming in mental health and operational safety

29:14 - Contextual adaptive responses for social appropriateness

30:12 - The vision of robots recognizing and respecting the social fabric of human life

31:50 - Closing remarks and encouragement for ongoing collaboration

Resources & Links

  1. Emotion recognition with a Randomized CNN-multihead-attention hybrid model optimized by evolutionary intelligence algorithm

Connect with Dr. Cristina Brasi:

  1. LinkedIn

Join us in future episodes as we continue to unravel the fascinating intersection of human psychology, AI, and robotics. Stay tuned for more inspiring insights and innovative visions for a harmonious future of humans and robots working together.

]]>In this episode, we explore the evolving field of human-robot teaming (HRT), emphasizing the importance of understanding human psychology, nonverbal communication, and ethical considerations in creating trustworthy and effective robotic partners. Our guest, Dr. Cristina Brasi, brings her expertise in forensic psychology and behavioral analysis to shed light on how robots can better read and respond to human cues, especially in high-pressure environments.

Key Topics

  1. The evolution of human-robot interaction from isolated robots to collaborative teams
  2. The role of sensors, actuators, and algorithms in enabling effective teaming
  3. The importance of personalized behavioral calibration over universal models
  4. Recognizing behavioral leakage and micro-expressions to interpret true emotions
  5. Cognitive ergonomics: tailoring robotic communication to individual neural profiles
  6. Challenges and risks of robot misinterpretation in emergency and stressful scenarios
  7. Designing transparent and predictable robots to foster trust
  8. The ethical implications of robots analyzing micro-expressions and emotional states
  9. The vision of a future where robots recognize and respect the complex social fabric of human life
  10. Bridging the "invisible barrier" and liberating both humans and machines for more harmonious coexistence

Timestamps

00:00 - Introduction to human-robot teaming and its significance

03:08 - Why robots need to move beyond mere automation and towards true collaboration

04:32 - The evolution from industrial robots to physical and shared space teaming

05:29 - Critical elements for effective human-robot interaction: sensors, actuators, algorithms

06:56 - The importance of humanizing robots through emotional and behavioral understanding

12:21 - The story behind naming the robot "Ambroggio" and symbolic meaning

13:43 - Identifying gaps between robotics and behavioral sciences

14:12 - Personalizing robotic responses through behavioral signatures and leakage detection

15:11 - Moving from action recognition to intent recognition in robots

16:08 - Embracing cognitive ergonomics and adapting to diverse neural profiles

18:28 - Risks of misinterpreting signals in emergency rescue environments

19:38 - Distinguishing pain vs. deception through micro-dynamic gesture analysis

20:35 - The importance of social fluency and subtle cues in high-stakes scenarios

22:27 - Defining successful human-robot non-verbal collaboration: trust, transparency, predictability

24:20 - Designing robots that display their internal states visually for better predictability

27:35 - The future potential of human-robot teaming in mental health and operational safety

29:14 - Contextual adaptive responses for social appropriateness

30:12 - The vision of robots recognizing and respecting the social fabric of human life

31:50 - Closing remarks and encouragement for ongoing collaboration

Resources & Links

  1. Emotion recognition with a Randomized CNN-multihead-attention hybrid model optimized by evolutionary intelligence algorithm

Connect with Dr. Cristina Brasi:

  1. LinkedIn

Join us in future episodes as we continue to unravel the fascinating intersection of human psychology, AI, and robotics. Stay tuned for more inspiring insights and innovative visions for a harmonious future of humans and robots working together.

]]>b3892cdd-a838-4aa7-8428-16928f5ad71dWed, 25 Feb 2026 03:00:00 -040032:40falsefull