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2005
Conference Paper
Titel
Adaptive filters for the dependable control of autonomous robot systems
Abstract
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 rule-based 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.