Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Delves into the definition of robots, emphasizing their programmability and ability to perform complex actions.
Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.
Explores the concept of robots, defined as mechatronic devices designed to automatically perform tasks imitating human actions.
Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.
Explores learning and adaptive control for robots, emphasizing modulation of dynamical systems to improve stability and enable reactive motion.
Covers challenges and solutions for robots to work safely with humans, emphasizing adaptability and predictability.
Covers the definition of limits and continuous functions with examples and exercises.
