Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.
Covers challenges and solutions for robots to work safely with humans, emphasizing adaptability and predictability.
Explains how a robot changes color and behavior based on different conditions using a timer.
Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.
Explores the concept of robots, defined as mechatronic devices designed to automatically perform tasks imitating human actions.
