Multi-channel Bayesian Adaptive Resonance Associate Memory for on-line topological map building
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- 作者：Wei Hong China ; weihong118118@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Chu Kiong Looa ; ckloo.um@um.edu.my" class="auth_mail" title="E-mail the corresponding author ; Manjeevan Seerab ; mseera@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Naoyuki Kubotac ; kubota@tmu.ac.jp" class="auth_mail" title="E-mail the corresponding author ; Yuichiro Todac ; toda-yuuichirou@ed.tmu.ac.jp" class="auth_mail" title="E-mail the corresponding author
- 关键词：Adaptive resonance theory ; Bayesian ; Robot navigation ; Simultaneous localization and mapping ; Topological map
- 刊名：Applied Soft Computing
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：38
- 期：Complete
- 页码：269-280
- 全文大小：2442 K
文摘
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MBARAM enables topological map building with little or no human intervention.
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Does not require high-level cognitive and prior knowledge to function in a natural environment.
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Multiple sensory sources are processes simultaneously crucial for real-world robot navigation.
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Results show capability of generating topological map online used for localization.