Learn the algorithmic foundations of robotics and self-driving cars and participate in an autonomous racing competition!

“Robotics: Science and Systems” includes both interactive frontal lectures and project-oriented labs. The lectures provide a comprehensive overview of mobile robotics and autonomous vehicles, covering topics in control and estimation theory, perception, computer vision, motion planning, and machine learning. The labs exercise these aspects through the design and implementation of algorithms and software to make the race car platforms fully autonomous. The labs are based on ROS, the Robot Operating System -- a must-know for roboticists -- which will be taught in the course.