Explores learning and adaptive control for robots, emphasizing modulation of dynamical systems to improve stability and enable reactive motion.
Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.
Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Delves into the definition and capabilities of robots based on various sources.
Delves into the definition of robots, emphasizing their programmability and ability to perform complex actions.
