a target-reaching controller for mobile robots using spiking neural networks
文献类型：会议论文
| 作者 | Wang Xiuqing ; Hou Zeng-Guang ; Lv Feng ; Tan Min ; Wang Yongji |
| 出版日期 | 2012 |
| 会议名称 | 19th International Conference on Neural Information Processing, ICONIP 2012 |
| 会议日期 | November 12, 2012 - November 15, 2012 |
| 会议地点 | Doha, Qatar |
| 关键词 | Collision avoidance Data processing Human computer interaction Mathematical models Navigation Neural networks |
| 页码 | 652-659 |
| 中文摘要 | Autonomous navigation plays important role in mobile robots. In this paper, a navigation controller based on spiking neural networks (SNNs) for mobile robots is presented. The proposed target-reaching navigation controller, in which the reactive architecture is used, is composed of three sub-controllers: the obstacle-avoidance controller and the wall-following controller using spiking neural networks (SNNs), and the goal-reaching controller. The experimental results show that the navigation controller can control the mobile robot to reach the target successfully while avoiding the obstacle and following the wall to get rid of the deadlock caused by local minimum. The proposed navigation controller does not require accurate mathematical models of the environment, and is suitable to unknown and unstructured environment. © 2012 Springer-Verlag. |
| 英文摘要 | Autonomous navigation plays important role in mobile robots. In this paper, a navigation controller based on spiking neural networks (SNNs) for mobile robots is presented. The proposed target-reaching navigation controller, in which the reactive architecture is used, is composed of three sub-controllers: the obstacle-avoidance controller and the wall-following controller using spiking neural networks (SNNs), and the goal-reaching controller. The experimental results show that the navigation controller can control the mobile robot to reach the target successfully while avoiding the obstacle and following the wall to get rid of the deadlock caused by local minimum. The proposed navigation controller does not require accurate mathematical models of the environment, and is suitable to unknown and unstructured environment. © 2012 Springer-Verlag. |
| 收录类别 | EI |
| 会议主办者 | United Development Company PSC (UDC); Qatar Petrochemical Company; ExxonMobil; Qatar Petroleum; Texas A and M University at Qatar; Asia Pacific Neural Network Assembly |
| 会议录 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
 |
| 语种 | 英语 |
| ISSN号 | 0302-9743 |
| ISBN号 | 9783642344770 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/15840]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Wang Xiuqing,Hou Zeng-Guang,Lv Feng,et al. a target-reaching controller for mobile robots using spiking neural networks[C]. 见:19th International Conference on Neural Information Processing, ICONIP 2012. Doha, Qatar. November 12, 2012 - November 15, 2012. |
入库方式： OAI收割
来源：软件研究所
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