Undergraduate Courses

CSE 481C: Robotics Capstone: Students work in teams to design and implement
algorithms for robotic perception and control.

Graduate Courses

CSE 571: Probabilistic Robotics: This course introduces various techniques for Bayesian state estimation and its application to problems such as robot localization, mapping, and manipulation. The course will also provide a problem-oriented introduction to relevant machine learning and computer vision techniques.