Ever wonder how a robot senses and navigates its surroundings? You've come to the right place! This course provides a look at a few of the ways robotic systems collect and process data to move around unknown spaces. Topics covered include computer vision, odometry, commonly used sensors (LIDAR/IR, IMU, motor encoders, etc), Kalman filters, and more. Don't know what any of that is? Perfect! I'll teach you. The course will also cover some robotics control theory, namely PID loops and pathfinding/motion profiling using splines. Lastly, for fun, I'll talk a little bit about six-axis robotic articulators, their uses, how they're modeled in industry, and the math/computer science behind how they work.