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19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 16
Adaptive Filters for the Dependable Control of Autonomous Robot Systems
Denver, Colorado
April 04-April 08
ISBN: 0-7695-2312-9
Karl-Erwin Grosspietsch, Fraunhofer Institute of Autonomous Intelligent Systems, Germany
In this paper, we discuss the use of adaptive filters for the control also of complex autonomous robot systems. A concept is presented to solve the resulting problem complexity by merging rulebased approaches with adaptive control, thus balancing a coarsening of the configuration/decision space by the implicit exploitation of former experience, encoded in a history array. Future work will be focussed on the detail evaluation of the approach and its implementation for a climbing robot application.
Citation:
Karl-Erwin Grosspietsch, "Adaptive Filters for the Dependable Control of Autonomous Robot Systems," ipdps, vol. 17, pp.284b, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 16, 2005
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