CS336

How can robots perceive the world and their own motion so that they can accomplish navigation and manipulation tasks? In this course, we will study how this question has been approached specifically if the robot is equipped with visual sensing capabilities. We focus on studying how a robot can make decisions based on raw, high-dimensional sensory data that represents only partial, noisy observations of the environment. Therefore, the course is divided into two main themes (i) Estimation and (ii) Decision-Making and Control where in each theme we will study traditional approaches, learning-based methods and combinations of those. Prerequisites: CS106B, MATH 51 or CME 100, CS109, CS 221 or CS 229.