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题名:
the wall-following controller for the mobile robot using spiking neurons
作者: Wang Xiuqing ; Hou Zeng-Guang ; Tan Min ; Wang Yongji ; Hu Liwei
会议文集: 2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009
会议名称: International Conference on Artificial Intelligence and Computational Intelligence
会议日期: NOV 07-08,
出版日期: 2009
会议地点: Shanghai, PEOPLES R CHINA
关键词: Spiking neural networks ; Mobile robot ; wall-follow ; controller
出版者: 2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL I, PROCEEDINGS
出版地: 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
ISBN: 978-0-7695-3816-7
部门归属: Wang, Xiuqing; Wang, Yongji Chinese Acad Sci, Inst Software, Lab Internet Technol, Beijing 100190, Peoples R China.
主办者: Shanghai Univ Elect Power, IEEE, Springer, APNNA, NSFC
英文摘要: Autonomous mobile robot is a hot research topic and attracts many interests due to that mobile robot has been or will be employed in various fields, such as space exploration, under water survey, industrial and military industries, service and medical applications, and so on. Wall following strategy can help the mobile robot to avoid deadlock caused by local minim and fulfill the given task effectively. Spiking Neural Networks (SNNs), the third generation of the neural networks, is suitable in the design of mobile robot behaviors controller. In this paper, a wall following controller based on SNNs for mobile robot is presented. Pulse frequency codes and pulse temporal coincidence detection codes are used in the proposed SNN controller. The designed controller can not only control the robot to follow the wall successfully, but also can be easily implemented.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8272
Appears in Collections:互联网软件技术实验室 _会议论文

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Recommended Citation:
Wang Xiuqing,Hou Zeng-Guang,Tan Min,et al. the wall-following controller for the mobile robot using spiking neurons[C]. 见:International Conference on Artificial Intelligence and Computational Intelligence. Shanghai, PEOPLES R CHINA. NOV 07-08,.
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