Bionic learning algorithm and its application on hexapod robot's unknown environment exploration - 文章详情页

作者：

Yu, Jianjun (Yu, Jianjun.) | Zhou, Lu (Zhou, Lu.) | Du, Hongwei (Du, Hongwei.) | Wang, Guanwei (Wang, Guanwei.)

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EI Scopus

摘要：

This　paper　apply　operant　conditioning　automata　to　bionic　behavior　which　used　for　hexapod　robot　at　unknown　environment　exploration　and　construct　an　independent　phototatic　operant　conditioning　model　used　for　hexapod　robot.　Aim　at　the　problem　of　the　overflow　of　probability　and　the　sum　of　all　probability　not　equal　to　one,　the　learning　mechanism　has　been　ameliorative　and　the　improved　learning　mechanism　also　been　proved　that　the　sum　of　all　probability　influenced　by　it　equal　to　I.　Result　of　the　emulation　experiment　enunciate:　According　to　the　improved　operant　conditioning　automata,　The　hexapod　robot　learn　independent　phototatic　behavior　and　have　capability　of　independent　learning.　This　paper　also　apply　learning　algorithm　to　hexapod　robot　physical　object.　Result　of　independent　phototatic　experiment　show　that　the　hexapod　robot　which　base　on　improved　operant　conditioning　automata　have　independent　phototatic　ability.　©　2013　IEEE.

关键词：

Automata theory Bionics Learning algorithms Probability Robots

作者机构：

[ 1 ] [Yu, Jianjun]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Zhou, Lu]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Du, Hongwei]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Wang, Guanwei]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

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