An artificial intelligence approach to the 1994 AUVS Unmanned Ground Robotics Competition
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This paper describes the artificial intelligence (AI) approach taken by the CSM team to the Second Annual AUVS International Unmanned Ground Robotics Competition held in Rochester, Michigan, May 20-22, 1994. Using this approach, the CSM entry Omnibot won first place and a $5000 prize for the six student team members. The AI approach relied on a reactive architecture to decompose the robot's functions into a set of reflexive behaviors, and the principle of action-oriented perception to guide the design of each individual behavior and its relationship to the others. The major contribution of this paper is a case study of a successful reactive behavioral design for an autonomous mobile robot.
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