Dr. Yanpei Huang

Assistant Professor, University of Sussex

Dr. Yanpei Huang focused her research on enabling the control of supernumerary robotic limbs in complex tasks such as robotic surgery, where she has developed intuitive interfaces (e.g., foot-based control), to allow a single operator to coordinate multiple robotic tools during trimanual tasks. More recently, her work has advanced shared control frameworks for supernumerary robotic limbs, combining human input with autonomous assistance to improve efficiency, flexibility, and user experience.

Dr. Huang's presentation will be titled "Beyond Two Hands: Coordination and Limits of Human Performance in Trimanual Interaction"

Dr. Dorian Verdel

Post-doctoral researcher, Imperial College of London

Dr. Dorian Verdel's work lies at the intersection of human augmentation, computational neuroscience, and physical human–robot interaction. His recent work focuses on how humans and robots can be modeled as coupled agents, leveraging predictive coding and game-theoretic frameworks to capture their mutual adaptation. In particular, he develops model predictive game control approaches, enabling robots to anticipate human motor intentions and achieve stable, efficient cooperation.

Dr. Verdel's presentation will be titled "A framework for versatile interactions with supernumerary robotic limbs".

Dr. Daniel Leal

Post-doctoral researcher, EPFL

Dr. Daniel Leal's work explores how unconventional and underutilized muscle groups can be harnessed as novel control channels for augmentation. Beyond interface design, his research investigates how humans can acquire and generalize new motor skills when operating supernumerary robotic limbs, including the use of motor imagery and coordination without interfering with natural movement.

Dr. Leal's presentation will be titled "Expanding the Motor Repertoire: allocating neural resources for extra robotic limb augmentation".