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Showing 1 to 2 of 2 for “"Decision-Theoretic Planning"”.
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Probabilistic roadmaps in uncertain environments
Planning under uncertainty is a common requirement of robot navigation. Probabilistic roadmaps are an efficient method for generating motion graphs through the robot's configuration space, but do not inherently represent any uncertainty in the environment. In this thesis, the physical domain is …
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Real-world autonomy in uncertain and unknown environments
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms