Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.
Explores obstacle avoidance using Dynamical Systems for robots, focusing on modulation, stability guarantees, and contraction theory.
Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Covers the basics of robotics, classifications, performances, and control algorithms in the manufacturing industry.
Delves into the definition of robots, emphasizing their programmability and ability to perform complex actions.
