Why Standard ML is Not Sufficient: Learning and Adaptive Control

This lecture explores the limitations of standard machine learning algorithms in creating stable dynamical systems for robots. Topics include the challenges of using out-of-the-box ML tools, demonstrations of vector fields, training data selection, and the application of support vector regression and Gaussian mixture regression for control law learning.