Learning and Adaptive Control for Robots: Overview and Path Planning

This lecture by the instructor covers the course format, materials, and resources for learning and adaptive control for robots. It delves into the challenges faced by real-time planners, the use of dynamical systems for path planning, and the application of impedance control and online trajectory planning. The lecture emphasizes the need for real-time planning in dynamic environments and the integration of machine learning with control laws. Practical sessions involving real robots are highlighted, along with the importance of stability guarantees in learned controllers.