the wall-following controller for the mobile robot using spiking neurons
文献类型：会议论文
| 作者 | Wang Xiuqing ; Hou Zeng-Guang ; Tan Min ; Wang Yongji ; Hu Liwei |
| 出版日期 | 2009 |
| 会议名称 | International Conference on Artificial Intelligence and Computational Intelligence |
| 会议日期 | NOV 07-08, |
| 会议地点 | Shanghai, PEOPLES R CHINA |
| 关键词 | Spiking neural networks Mobile robot wall-follow controller |
| 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. |
| 会议主办者 | Shanghai Univ Elect Power, IEEE, Springer, APNNA, NSFC |
| 会议录 | 2009 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2009
 |
| 会议录出版者 | 2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL I, PROCEEDINGS |
| 会议录出版地 | 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA |
| ISBN号 | 978-0-7695-3816-7 |
| 源URL | [http://124.16.136.157/handle/311060/8272]  |
| 专题 | 软件研究所_互联网软件技术实验室 _会议论文 |
| 推荐引用方式 GB/T 7714 | 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,. |
入库方式： OAI收割
来源：软件研究所
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