Intelligent Robotics and Perceptionoverview | logistics | organization | schedule | announcements | labs | resources
This course provides an overview of topics in computational perception, machine learning, and robotics. Students will learn the underlying principles and methods of intelligent robotic systems, including techniques from sensor processing, robot software architecture, and supervised, unsupervised, and reinforcement learning. Throughout the semester, students will collaborate as a team to build an intelligent robotic system of their choice. Prerequisite: Computer Science 201 or permission of the instructor.