DocumentCode
3026264
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
fYear
2005
fDate
4-8 April 2005
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
Print_ISBN
0-7695-2312-9
Type
conf
DOI
10.1109/IPDPS.2005.77
Filename
1420249
Link To Document