Biology Inspired Robot Behavior Selection Mechanism: Using Genetic Algorithm

Since behavior selection is a crucial issue not only in biology, but also in robotics, especially in behavior-based robotics, it is nature to consider the behavior selection problem both in biological view and robotic view. In recent years, accumulative evidences from neurobiology and anatomy have g...

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Published inBio-Inspired Computational Intelligence and Applications Vol. 4688; pp. 777 - 786
Main Authors Wang, Yiping, Li, Sheng, Chen, Qingwei, Hu, Weili
Format Book Chapter
LanguageEnglish
Published Germany Springer Berlin / Heidelberg 2007
Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Basal Ganglion
Behavior Selection
Genetic Algorithm
Mobile Robot Navigation
Salience Signal
Online AccessGet full text
ISBN3540747680
9783540747680
ISSN0302-9743
1611-3349
DOI10.1007/978-3-540-74769-7_82

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Abstract Since behavior selection is a crucial issue not only in biology, but also in robotics, especially in behavior-based robotics, it is nature to consider the behavior selection problem both in biological view and robotic view. In recent years, accumulative evidences from neurobiology and anatomy have given rise to proposals that the basal ganglia-a group of subcortex nuclei in vertebrate brains- serve as a central selection mechanism. This paper introduces a robot behavior selection mechanism inspired by basal ganglia and makes explorations of applying genetic algorithm to the optimization of model parameters. The proposed method demonstrates its efficiency through a simulated robot foraging task and casts light on designing more intelligent and fluent behavior selection mechanism in the future.
AbstractList Since behavior selection is a crucial issue not only in biology, but also in robotics, especially in behavior-based robotics, it is nature to consider the behavior selection problem both in biological view and robotic view. In recent years, accumulative evidences from neurobiology and anatomy have given rise to proposals that the basal ganglia-a group of subcortex nuclei in vertebrate brains- serve as a central selection mechanism. This paper introduces a robot behavior selection mechanism inspired by basal ganglia and makes explorations of applying genetic algorithm to the optimization of model parameters. The proposed method demonstrates its efficiency through a simulated robot foraging task and casts light on designing more intelligent and fluent behavior selection mechanism in the future.
Author Hu, Weili
Li, Sheng
Chen, Qingwei
Wang, Yiping
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Snippet Since behavior selection is a crucial issue not only in biology, but also in robotics, especially in behavior-based robotics, it is nature to consider the...
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StartPage 777
SubjectTerms Basal Ganglion
Behavior Selection
Genetic Algorithm
Mobile Robot Navigation
Salience Signal
Title Biology Inspired Robot Behavior Selection Mechanism: Using Genetic Algorithm
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