Human-Robot Teaming Podcast Por Universitetet i Agder arte de portada

Human-Robot Teaming

Human-Robot Teaming

De: Universitetet i Agder
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Robots 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.Copyright 2026 Universitetet i Agder Ciencia
Episodios
  • Bilateral Communication Between Humans and Robots as the Future of Human-Robot Teaming

    Bilateral Communication Between Humans and Robots as the Future of Human-Robot Teaming
    Mar 25 2026
    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:The evolving definition and importance of human-robot teamingBilateral and multi-modal communication channels, especially touchThe biological basis and engineering of tactile feedback in roboticsSynergies and compliance in robotic hand controlThe concept of augmentation: from sixth fingers to assistive roboticsTransition from prototypes to commercialization with companies like SixtoChallenges in sensor development, including robust e-skin technologyEthical considerations and societal implications of robotics revolutionThe future trajectory of AI-powered multisensory integrationTimestamps:00:00 - Introduction to human-robot teaming and its significance02:25 - Defining human-robot collaboration in a rapidly evolving context03:49 - The bilateral communication channel for effective teaming04:54 - Moving towards balanced human-robot interactions07:15 - The role of touch and tactile feedback in communication08:44 - How biological tactile interactions inspire robotic hand design10:08 - The importance of emotional and functional touch in humans11:17 - Using touch for guidance irrespective of sight and hearing impairments12:44 - Historical overview of sensory technology, focusing on touch14:24 - The revolutionary potential of recording and reproducing tactile interactions15:44 - The integration of multiple senses and multisensory teaming17:15 - Manipulation synergies and brain-inspired control strategies18:47 - Simplifying control through synergies and compliance in robotics20:16 - The concept of invisible threads and brain's organization of hand movements21:39 - The brain's management of hand complexity and use of compliance23:50 - The impact of synergy and compliance on collaborative manipulation26:01 - Exploring augmentation: the story of the sixth finger28:52 - Assistive robotics: aiding stroke patients with robotic augmentations31:47 - The pathway from prototypes to commercial products (e.g., Sixto)34:25 - Scaling devices for education and medical training35:23 - Main barriers and future challenges for human-robot teaming37:40 - Sensor technology limitations and future directions39:50 - The importance of standards, safety, and societal acceptance42:14 - The societal impact, fears, and opportunities of robotics revolution44:57 - Cross-disciplinary collaboration and the role of AI in sensor networks46:16 - Final thoughts and encouragement for active engagement in the fieldResources & Links:Domenico Prattichizzo's research groupImmersiveSurgicalEduConnect with Gionata Salvietti:LinkedInResearch Articles: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.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.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.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.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 ...
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    50 m
  • When Robots Become Teammates: Sensors, Digital Twins, and the Rise of Human-Centric AI

    When Robots Become Teammates: Sensors, Digital Twins, and the Rise of Human-Centric AI
    Mar 11 2026

    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.
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    39 m
  • Emotional Intelligence in Human-Robot Teaming

    Emotional Intelligence in Human-Robot Teaming
    Feb 25 2026

    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.
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    33 m
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