Generation of optimal fault tolerant locomotion of the hexapod robot over rough terrain using evolutionary programming

Jung Min Yang, Jong Hwan Kim

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

Abstract

This paper extends the authors' previous results on optimal fault tolerant locomotion of the hexapod walking robot over even terrain by generalizing the shape of ground. A method of searching the optimal or near optimal fault tolerant sequence of free gaits over rough terrain using evolutionary programming is proposed. Based on the sequence of gaits derived on even terrain, the proposed algorithm searches the foothold positions guaranteeing optimal locomotion and maintaining fault stability margin non-negative. The effectiveness of the proposed algorithm is demonstrated with computer simulations.

Original languageEnglish
Pages489-493
Number of pages5
StatePublished - 1997
EventProceedings of the 1997 IEEE International Conference on Evolutionary Computation, ICEC'97 - Indianapolis, IN, USA
Duration: 13 Apr 199716 Apr 1997

Conference

ConferenceProceedings of the 1997 IEEE International Conference on Evolutionary Computation, ICEC'97
CityIndianapolis, IN, USA
Period13/04/9716/04/97

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