Robot phototaxis control based on Boltzmann machine neural network cognitive mechanism - 文章详情页

作者：

Ruan, Xiao-Gang (Ruan, Xiao-Gang.) | Pang, Tao (Pang, Tao.) | Yu, Jian-Jun (Yu, Jian-Jun.)

收录：

EI Scopus PKU CSCD

摘要：

For　mobile　robot　phototaxis　control　problems,　the　human　or　animal　＇perception-action＇　cognitive　mechanism　is　simulated.　The　structure　of　mobile　robot　is　designed　and　the　method　of　phototaxis　control　is　proposed　based　on　the　Boltzmann　machine　neural　network.　The　Boltzmann　machine　neural　network　is　trained　by　the　knowledge　set.　The　phototaxis　control　method　is　implemented　by　using　the　Boltzmann　machine　neural　network　operation　mechanism.　Simulation　results　show　that　the　proposed　method　can　improve　the　control　accuracy　and　the　success　rate　of　robot　learning.　©,　2014,　Northeast　University.　All　right　reserved.

关键词：

Control engineering Mobile robots Computer simulation

作者机构：

[ 1 ] [Ruan, Xiao-Gang]College of Electronic and Control Engineering, Beijing University of Technology, Beijing ; 100124, China
[ 2 ] [Pang, Tao]College of Electronic and Control Engineering, Beijing University of Technology, Beijing ; 100124, China
[ 3 ] [Pang, Tao]College of Electronic Information Engineering, Shenyang Aerospace University, Shenyang ; 110136, China
[ 4 ] [Yu, Jian-Jun]College of Electronic and Control Engineering, Beijing University of Technology, Beijing ; 100124, China

通讯作者信息：

[pang, tao]college of electronic and control engineering, beijing university of technology, beijing ; 100124, china;;[pang, tao]college of electronic information engineering, shenyang aerospace university, shenyang ; 110136, china

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