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Stochastic control / Partially observable Markov decision process / Motion planning / Automated planning and scheduling / Markov decision process / S0 / Probabilistic roadmap / Reinforcement learning / Sampling / Statistics / Dynamic programming / Markov processes


Motion Planning under Uncertainty for Robotic Tasks with Long Time Horizons Hanna Kurniawati Singapore–MIT Alliance for Research Technology Singapore, Singapore
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Document Date: 2010-11-12 00:05:05

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File Size: 1,98 MB

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Singapore / United States / /

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National University of Singapore Singapore / /

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recent successful algorithms / overall algorithm / approximate solutions / /

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National University of Singapore / Department of Computer Science / MIT Alliance / Stanford University Stanford / POMDP / /

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David Hsu / /

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representative / /

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K / /

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California / /

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recent point-based POMDP algorithms / simulation / 3-D / overall algorithm / sampling-based planning algorithm / 6 Algorithm / /

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