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Showing 1 to 3 of 3 for “"Decision-Theoretic Planning"”.
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Robot controllers for highly dynamic environments with real-time constraints
… We propose an approach to the problem of decision making (deliberation) for robots or agents which moreover have to decide under real-time constraints in adversarial domains, i.e. multi-agent domains where opponents have contrary goals and try to foil the goals of the opposing team. We …
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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