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.
Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.
Explores two paradigms for robotics, components like motors, gears, sensors, and controllers, and design considerations for various types of robots.
