| Robot path planning in dynamic environment based on reinforcement learning |
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| 作者姓名： | 庄晓东 孟庆春 魏天滨 王旭柱 谭锐 李筱菁 |
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| 作者单位： | 1. Dept. of Electronics & Engineering，Ocean University of Qingdao，Qingdao 266003，China; 2. State Key Lab. of Intelligent Technolog |
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| 摘 要： | 0 ＩＮＴＲＯＤＵＣＴＩＯＮＯｎｅｏｆｔｈｅｍｏｓｔｉｍｐｏｒｔａｎｔｐｒｏｂｌｅｍｓｉｎｍｏｂｉｌｅｒｏｂｏｔｃｏｎｔｒｏｌｉｓｐａｔｈｐｌａｎｎｉｎｇ .Ｔｈｅｒｅａｒｅａｌｒｅａｄｙｓｏｍｅｍｅｔｈ ｏｄｓｔｈａｔｓｏｌｖｅｐａｔｈｐｌａｎｎｉｎｇｐｒｏｂｌｅｍｓ ,ｓｕｃｈａｓａｒｔｉｆｉｃｉａｌｐｏｔｅｎｔｉａｌｍｅｔｈｏｄａｎｄｇｒｉｄｍｅｔｈｏｄ .Ｉｎｔｈｅｓｅｍｅｔｈｏｄｓ,ｉｔｉｓｎｅｃｅｓｓａｒｙｔｏｅｓｔａｂｌｉｓｈｔｈｅｅｎｖｉｒｏｎｍｅｎｔ’ｓｍｏｄｅｌｂｅｆｏｒｅｐｅｒｆｏ…
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Robot path planning in dynamic environment based on reinforcement learning |
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| ZHUANG Xiao-dong,WEI Tian-bin,WANG Xu-zhu,TAN Rui,LI Xiao-jing,Meng Qing-chun.Robot path planning in dynamic environment based on reinforcement learning[J].Journal of Harbin Institute of Technology,2001,8(3). |
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| Authors: | ZHUANG Xiao-dong WEI Tian-bin WANG Xu-zhu TAN Rui LI Xiao-jing Meng Qing-chun |
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| Abstract: | Proposes an adaptive learning method based on reinforcement learning for robot path planning problem, which enables the robot to adaptively learn and perform effective path planning, to avoid the moving obstacles and reach the target. Thereby achieving automatic construction of path planning strategy and making the system adaptive to multi robots system dynamic environments, and concludes from computer simulation experiment that the method is powerful to solve the problem of multi robot path planning, and it is a meaningful try to apply reinforcement learning techniques in multi robot systems to develop the system's intelligence degree. |
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| Keywords: | reinforcement learning mobile robot path planning |
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