Title :
Adaptive filters for the dependable control of autonomous robot systems
Author :
Grosspietsch, Karl-Erwin
Author_Institution :
Fraunhofer Inst. of Autonomous Intelligent Syst., Augustin, Germany
Abstract :
In this paper, we discuss the use of adaptive filters for the control 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.
Keywords :
adaptive control; adaptive filters; fault tolerant computing; mobile robots; neural nets; adaptive filter; artificial neural net; autonomous robot system control; dependable control; fault tolerance computing; rule-based approach; Adaptive filters; Artificial neural networks; Control systems; Embedded computing; Embedded system; Intelligent robots; Mechatronics; Monitoring; Physics computing; Robot control;
Conference_Titel :
Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
Print_ISBN :
0-7695-2312-9
DOI :
10.1109/IPDPS.2005.77
