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.
Explores two paradigms for robotics, components like motors, gears, sensors, and controllers, and design considerations for various types of robots.
