Mobile Robots

Mobile robotics is fundamentally about getting a machine to figure out where it is, where it needs to go, and how to physically get there despite noisy sensors and an uncertain world — so the course centers on the loop between locomotion, perception, localization, and planning rather than on any single subsystem. You'll work through kinematic models (holonomic vs. non-holonomic constraints, degree of mobility/steerability), then move into probabilistic localization with Kalman filtering and path-planning algorithms, anchored by a lab, homework, and a term project that ties the pieces together. It sits naturally after dynamics and controls coursework and is the practical entry point for anyone heading toward autonomous systems, SLAM, or robotics research.