Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.
Explores two paradigms for robotics, components like motors, gears, sensors, and controllers, and design considerations for various types of robots.
Explores human-robot augmentation through wearable robotics systems, focusing on extra limbs' embodiment and sensory feedback challenges.
Covers learning and adaptive control for robots, focusing on real-time reactivity and path planning using dynamical systems.
