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Situation analysis exploiting feasibility constraints in uncertain environments

Michael Spreng

发表年份
1991
引用次数
2

摘要

Deals with the problem of uncertainties in the nominal world model of a robot. In particular, the problem of analyzing unexpected situations in a 2D polygonal world is attacked. Such a situation analysis can be used to acquire information on a contact situation encountered during the execution of a motion. The analysis is based on the concept of so-called test motions, i.e. motions, the feasibility of which depends on the actual contact situation present. Using a probabilistic uncertainty model, the focus is on the computation of motion constraints due to contact and the resulting selection of an optimal test motion.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

关键词

Focus (optics)Computer scienceMotion (physics)Selection (genetic algorithm)RobotProbabilistic logicComputationArtificial intelligenceMathematical optimizationAlgorithm

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