DocumentCode
2403326
Title
A comparison of genetic programming and genetic algorithms for auto-tuning mobile robot motion control
Author
Walker, M. ; Messom, C.H.
Author_Institution
Inst. of Inf. & Math. Sci., Massey Univ., Auckland, New Zealand
fYear
2002
fDate
2002
Firstpage
507
Lastpage
509
Abstract
This paper discusses the use of genetic programming (GP) and genetic algorithms (GA) to evolve solutions to a problem in robot control. GP is seen as an intuitive evolutionary method while GAs require an extra layer of human intervention. The infrastructures for the different evolutionary approaches are compared
Keywords
genetic algorithms; mobile robots; motion control; path planning; tuning; auto-tuning; genetic algorithms; genetic programming; human intervention; intuitive evolutionary method; mobile robot; robot motion control; Genetic algorithms; Genetic programming; Humans; Mobile robots; Motion control; Path planning; Robot control; Robot kinematics; Robot programming; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Design, Test and Applications, 2002. Proceedings. The First IEEE International Workshop on
Conference_Location
Christchurch
Print_ISBN
0-7695-1453-7
Type
conf
DOI
10.1109/DELTA.2002.994686
Filename
994686
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