Adaptive Filters for the Dependable Control of Autonomous Robot Systems

  • Authors:
  • Karl-Erwin Grosspietsch

  • Affiliations:
  • Fraunhofer Institute of Autonomous Intelligent Systems, Germany

  • Venue:
  • IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 16 - Volume 17
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

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 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.