Error Detection and Recovery for Robot Motion Planning with Uncertainty
Robots must plan and execute tasks in the presence of uncertainty. Uncertainty arises from sensing errors, control errors, and uncertainty in the geometry of the environment. The last, which is called model error, has received little previous attention. We present a framework for computing mot...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/6851 |