Winning the DARPA Grand Challenge with an AI Robot

Proceedings of the AAAI Conference on Artificial Intelligence, 21

Volume

Technical Papers

Robotics and Computer Vision

This paper describes the software architecture of Stanley, an autonomous land vehicle developed for high-speed desert driving without human intervention. The vehicle recently won the DARPA Grand Challenge, a major robotics competition. The article describes the software architecture of the robot, which relied pervasively on state-of-the-art AI technologies, such as machine learning and probabilistic reasoning.