AI and Robotics Labs at the Undergraduate Robotics Laboratory, St. Bonaventure University

Robert M. Harlan

We discuss six labs that present two contrasting approaches to AI robotics. The first four labs present the traditional, representation-based approach to designing behavior control algorithms for autonomous robots. Robots use an internal representation of the world plus a planning algorithm to guide behavior. The second two labs present a behavior-based or reactive approach to managing robot behavior. Behavior is tied directly to sensor readings, eliminating the need for an internal representation of the world or a centralized planner.

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