南方科技大学知识苑(SUSTech KC): Reinforcement Learned Distributed Multi-Robot Navigation With Reciprocal Velocity Obstacle Shaped Rewards

题名	Reinforcement Learned Distributed Multi-Robot Navigation With Reciprocal Velocity Obstacle Shaped Rewards
作者	Han，Ruihua 1; Chen，Shengduo2 ; Wang，Shuaijun3 ; Zhang，Zeqing 4; Gao，Rui5 ; Hao，Qi6 ; Pan，Jia 7
发表日期	2022-07
DOI	10.1109/LRA.2022.3161699
发表期刊	IEEE Robotics and Automation Letters 影响因子和分区
ISSN	2377-3774
卷号	7 期号:3页码:5896-5903
关键词	Collision avoidance reinforcement learning multi-robot systems
相关链接	[IEEE记录]
收录类别	SCI ; EI
学校署名	其他
EI入藏号	20221311863790
EI主题词	Air navigation ; Complex networks ; Deep learning ; Economic and social effects ; Industrial robots ; Multipurpose robots ; Reinforcement learning ; Travel time
EI分类号	Air Transportation:431 ; Air Navigation and Traffic Control:431.5 ; Highway Transportation:432 ; Railroad Transportation:433 ; Waterway Transportation:434 ; Ergonomics and Human Factors Engineering:461.4 ; Computer Systems and Equipment:722 ; Artificial Intelligence:723.4 ; Robotics:731.5 ; Robot Applications:731.6 ; Accidents and Accident Prevention:914.1 ; Social Sciences:971
来源库	IEEE
全文链接	https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9740403
引用统计	被引频次[WOS]：50
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/328590
专题	工学院_计算机科学与工程系
作者单位	1.Computer Science, University of Hong Kong, shenzhen, China, 518000 2.Computer Science and Engineering, Southern University of Science and Technology, shenzhen, China, 518055 3.Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China, 518005 4.Computer Science, The University of Hong Kong, Hong Kong, China, 000000 5.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China, 518005 6.Computer Science and Engineering, SOUTHERN UNIVERSITY OF SCIENCE AND TECHNOLOGY, Shenzhen, China, 518055 7.Computer Science, University of Hong Kong, Hong Kong, China, 00000
推荐引用方式 GB/T 7714	Han，Ruihua,Chen，Shengduo,Wang，Shuaijun,et al. Reinforcement Learned Distributed Multi-Robot Navigation With Reciprocal Velocity Obstacle Shaped Rewards[J]. IEEE Robotics and Automation Letters,2022,7(3):5896-5903.
APA	Han，Ruihua.,Chen，Shengduo.,Wang，Shuaijun.,Zhang，Zeqing.,Gao，Rui.,...&Pan，Jia.(2022).Reinforcement Learned Distributed Multi-Robot Navigation With Reciprocal Velocity Obstacle Shaped Rewards.IEEE Robotics and Automation Letters,7(3),5896-5903.
MLA	Han，Ruihua,et al."Reinforcement Learned Distributed Multi-Robot Navigation With Reciprocal Velocity Obstacle Shaped Rewards".IEEE Robotics and Automation Letters 7.3(2022):5896-5903.