This lecture provides an overview of current advanced machine learning for different robotic applications. Important fundamental terminology, concepts, and methods are presented for various topics including:

·       Imitation Learning 

·       Transformers

·       Generative Adversarial Networks (GANs)

·       Deep Reinforcement Learning

·       Foundation Models

·       Diffusion Models

.       Explainable AI

.       Deep Learning for Object Detection and Segmentation

And other interesting topics 

The course also includes hands-on sessions for programming and implementing the methods.