To equip students with the ability to design and implement visual-feedback systems that control a robot's position and motion in real time using image data.

This course covers visual-feedback (visual servoing) approaches that connect image information obtained from cameras to the control of robot motion. Camera modeling and calibration, extraction and tracking of image features, object and pose estimation, image-based (IBVS) and position-based (PBVS) visual servoing, hand-eye calibration, and the design and stability of a real-time vision-control loop are addressed.