Spiking neural network-based target tracking control for autonomous mobile robots
文献类型:期刊论文
作者 | Cao, Zhiqiang1![]() ![]() ![]() ![]() |
刊名 | NEURAL COMPUTING & APPLICATIONS
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出版日期 | 2015-11-01 |
卷号 | 26期号:8页码:1839-1847 |
关键词 | Spiking neural network Autonomous mobile robot Spike trains Target tracking Hebbian learning |
英文摘要 | In this paper, a target tracking controller based on spiking neural network is proposed for autonomous robots. This controller encodes the preprocessed environmental and target information provided by CCD cameras, encoders and ultrasonic sensors into spike trains, which are integrated by a three-layer spiking neural network (SNN). The outputs of SNN are generated based on the competition between the forward/backward neuron pair corresponding to each motor, with the weights evolved by the Hebbian learning. The application to target tracking of a mobile robot in unknown environment verifies the validity of the proposed controller. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence |
研究领域[WOS] | Computer Science |
关键词[WOS] | DYNAMIC-SYSTEM ; NEURONS ; BEHAVIOR ; MODELS |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000361397500005 |
源URL | [http://ir.ia.ac.cn/handle/173211/9011] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Deakin Univ, Ctr Intelligent Syst Res, Waurn Ponds, Vic, Australia |
推荐引用方式 GB/T 7714 | Cao, Zhiqiang,Cheng, Long,Zhou, Chao,et al. Spiking neural network-based target tracking control for autonomous mobile robots[J]. NEURAL COMPUTING & APPLICATIONS,2015,26(8):1839-1847. |
APA | Cao, Zhiqiang,Cheng, Long,Zhou, Chao,Gu, Nong,Wang, Xu,&Tan, Min.(2015).Spiking neural network-based target tracking control for autonomous mobile robots.NEURAL COMPUTING & APPLICATIONS,26(8),1839-1847. |
MLA | Cao, Zhiqiang,et al."Spiking neural network-based target tracking control for autonomous mobile robots".NEURAL COMPUTING & APPLICATIONS 26.8(2015):1839-1847. |
入库方式: OAI收割
来源:自动化研究所
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