Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6851
Title: Error Detection and Recovery for Robot Motion Planning with Uncertainty
Keywords: robotics
motion planning
uncertainty
error detection andsrecovery
computational geometry
geometric reasoning
planning withsuncertainty
model error
EDR
failure mode analysis
Issue Date: 9-Oct-2013
Description: 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 motion strategies that are guaranteed to succeed in the presence of all three kinds of uncertainty. The motion strategies comprise sensor-based gross motions, compliant motions, and simple pushing motions.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/1721
Other Identifiers: AITR-982
http://hdl.handle.net/1721.1/6851
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