中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Effective Decoupled Planning for Continuous Multi-Agent Pickup and Delivery

文献类型:会议论文

作者Nie ZB(聂振邦)1,2,3,4; Zeng P(曾鹏)1,2,3,4; YU HB(于海斌)1,2,3,4
出版日期2020
会议日期August 22-24, 2020
会议地点Hefei, China
关键词Multi-Agent Pickup and Delivery Multi-Agent Path Finding Decoupled Path Planning
页码2667-2672
英文摘要Continuous MAPD (Multi-Agent Pickup and Delivery) problem is widely encountered in material transportation systems. TP (Token Passing) is a conflict-free, deadlock-free algorithm for continuous MAPD problems. However, when TP is used, the number of tasks simultaneously handled by agents is limited by the number of task endpoint locations. To solve this problem, ITP (Improved Token Passing) is proposed in this paper. An extra path planning procedure is introduced to improve agent utilization. A complete and optimal A∗-based algorithm is designed to solve the low level single agent path planning problem. ITP increases system throughput by exploiting all available agents, and remains conflict-free and deadlock-free. Experiment result shows that ITP outperforms TP in terms of system makespan under heavy workload in congested workspace.
源文献作者IEEE Control Systems Society (CSS) ; Northeastern University ; State Key Laboratory of Synthetical Automation for Process Industries ; Technical Committee on Control Theory, Chinese Association of Automation
产权排序1
会议录Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020
会议录出版者IEEE
会议录出版地New York
语种英语
ISBN号978-1-7281-5854-9
WOS记录号WOS:000621616902137
源URL[http://ir.sia.cn/handle/173321/27698]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Nie ZB(聂振邦); Zeng P(曾鹏); YU HB(于海斌)
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110017, China
2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110179, China
3.University of Chinese Academy of Sciences, Beijing 100049, China
4.Key Laboratory of Networked Control Systems Chinese Academy of Sciences, Shenyang 110017, China
推荐引用方式
GB/T 7714
Nie ZB,Zeng P,YU HB. Effective Decoupled Planning for Continuous Multi-Agent Pickup and Delivery[C]. 见:. Hefei, China. August 22-24, 2020.

入库方式: OAI收割

来源:沈阳自动化研究所

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