A co-evolution approach to sensor placement and control design for robot obstacle avoidance
Refereed conference paper presented and published in conference proceedings

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AbstractThis paper proposes a co-evolution approach to optimal sensor placement and controller design for a mobile robot to facilitate its navigation and obstacle avoidance in an unknown environment. The mobile robots considered in this paper have flexible sensor and control structure. A genetic algorithm is developed to evolve the parameters of optimal sensor placement and fuzzy logic controller simultaneously. The preliminary results sindicates that the proposed co-evolution approach can lead to efficient robot sensor placement and control design. © 2004 IEEE.
All Author(s) ListWang X., Yang S.X., Shi W., Meng M.Q.-H.
Name of Conference2004 International Conference on Information Acquisition, ICIA 2004
Start Date of Conference21/06/2004
End Date of Conference25/06/2004
Place of ConferenceHefei
Country/Region of ConferenceChina
Pages107 - 112
LanguagesEnglish-United Kingdom

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