Long-range navigation for autonomous robot based on topo-mapping and q-learning
文献类型：会议论文
| 作者 | Hu YM(胡艳明)1,4,5 ; Li DC(李德才)4,5; He YQ(何玉庆)2,4,5; Han JD(韩建达)3,4,5
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| 出版日期 | 2019 |
| 会议日期 | August 4-9, 2019 |
| 会议地点 | Irkutsk, Russia |
| 页码 | 426-431 |
| 英文摘要 | Long-range navigation in unknown environments is one of the major challenges for autonomous robot. Traditional methods are usually relying on metric mapping and path planning, which own a very high calculation cost for planning, re-planning, map building and map updating. Q-learning can learn a reactive navigation behavior for mobile robot, but easy fall into local minimum with long-range goal. In order to accomplish the long-range navigation task, a two-layers navigation framework is based a novel topological mapping (topo-mapping) method and Q-learning. The proposed topo-mapping method can incrementally build a topological map (topo-map) in unknown environment. Topo-map maintains two types of nodes: station node and feature node. Station nodes store low resolution information of environment and its related feature nodes store the export information. Local target can be selected from those feature nodes by proposed topology planner. This local target guides Q-learning based robot reach long-range goal. We evaluate the proposed method in simulation environment. Experimental results show that the proposed method based autonomous robot can reach the long-range goal successfully in unknown environment. |
| 源文献作者 | CAS Key Laboratory of Health Informatics, Shenzhen Institutes of Advanced Technology ; CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology (HMISS) ; IEEE Robotics and Automation Society (RA) ; Institute of Electrical and Electronics Engineers (IEEE) |
| 产权排序 | 1 |
| 会议录 | 2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019
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| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-7281-3726-1 |
| 源URL | [http://ir.sia.cn/handle/173321/27175]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 通讯作者 | He YQ(何玉庆) |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, China 2.Shenyang Institute of Automation (Guangzhou), Chinese Academy of Sciences, Guangzhou 511458, China 3.College of Artificial Intelligence, Nankai University, Tianjing 300071, China 4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning Province 110016, China 5.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning Province 110016, China |
| 推荐引用方式 GB/T 7714 | Hu YM,Li DC,He YQ,et al. Long-range navigation for autonomous robot based on topo-mapping and q-learning[C]. 见:. Irkutsk, Russia. August 4-9, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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