We are pleased to announce that Dr. Tadej Petrič delivered an invited talk at the Robot Embodied Computational Neuroscience workshop.
Workshop website: https://neural-robots.github.io/ws/
His lecture, titled “Learning from Human Dyads: Embedded Strategies for Physical Adaptation in Human–Robot Collaboration,” presented novel insights into how coordinated human–human interaction can inform adaptive robotic behaviour. Dr. Petrič discussed how embedded control strategies—rooted in natural dyadic coordination—enable robots to interpret, predict, and physically adapt to human motion during collaborative tasks.
The talk highlighted mechanisms of physical interaction, adaptive compliance, and embodied intelligence, showing how biologically inspired strategies can significantly enhance safety, fluidity, and mutual understanding in human–robot collaboration.
Dr. Petrič’s contribution aligned strongly with the workshop’s mission of bridging computational neuroscience with embodied robotic systems, offering a compelling perspective on the future of adaptive, physically intelligent robots.