Perception and Planning for Autonomous Systems with Lab

Catalog description

This robotics and autonomous systems course introduces students to the principles of sensing, perception, and motion planning in autonomous systems. Students examine how autonomous robots and intelligent systems perceive their environments, apply sensor fusion and computer vision, and use algorithmic methods to plan efficient paths in both static and dynamic physical systems. Emphasis is placed on the integration of control systems, mapping techniques, and decision-making processes that support advanced applications in robotics and artificial intelligence. (Prerequisite: ELEN437)