Project "Agent Architectures for Coping with Uncertainty"
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Autonomous agents need to generate plans that achieve their goals even if they are never sure what their current state is. For example, the actuator and sensor uncertainty of mobile robots prevents them from knowing their exact location during navigation. Consequently, we have designed agent architectures that are able to cope with a substantial amount of uncertainty. One of these agent architectures - developed as part of our dissertation - is based on partially observable Markov decision processes models (POMDP) from operations research. This agent architecture is part of Xavier, a mobile robot at Carnegie Mellon University that received navigation requests from users worldwide via the World Wide Web and has traveled more than 230 kilometers.

Representative Publications

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This page was automatically created by a bibliography maintenance system that was developed as part of an undergraduate research project, advised by Sven Koenig.

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