Explores the collaborative grand challenge of assistive distributed robotics at EPFL, focusing on higher autonomy for individuals with limited mobility.
Discusses ensuring continuous surveillance in constrained environments using control barrier functions and local sensors for robust tracking of intruders.
Presents a novel architecture for robot learning of haptic interaction, achieving robust object class estimation and enhancing haptic interaction efficiency.
Explores Bayesian disturbance injection for robust imitation in robot learning, demonstrating its effectiveness in reducing error compounding and achieving high task achievement.
