Electronics Optics & Control, Volume. 30, Issue 5, 73(2023)
Collaborative Task Planning for Multi-unmanned Vehicle Autonomous Exploration in Unknown Environment
[5] [5] DAI W,LU H M,XIAO J H,et al.Task allocation without communication based on incomplete information game theory for multi-robot systems[J].Journal of Intelligent & Robotic Systems,2019,94:841-856.
[6] [6] CHEN X Y,ZHANG P,LI F,et al.A cluster first strategy for distributed multi-robot task allocation problem with time constraints[C]//WRC Symposium on Advanced Robotics and Automation (WRC SARA).Beijing:IEEE, 2018:102-107.
[7] [7] BISWAS S,ANAVATTI S G,GARRATT M A.Nearest neighbour based task allocation with multi-agent path planning in dynamic environments[C]//International Conference on Advanced Mechatronics,Intelligent Manufacture,and Industrial Automation (ICAMIMIA).Surabaya:IEEE,2017:181-186.
[12] [12] UMARI H,MUKHOPADHYAY S.Autonomous robotic exploration based on multiple rapidly-exploring randomized trees[C]//IEEE/RSJ International Conference on Intelligent Robots & Systems.Vancouver:IEEE,2017:1396-1402.
[13] [13] MORAVEC H P,ELFES A E.High resolution maps from wide angle sonar[C]//IEEE International Conference on Robotics and Automation.City of Saint Louis,MO:IEEE, 1985:116-121.
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ZHOU Sida, LI Dingkui, TANG Jianing, LIU Yuqing, LI Chengyang. Collaborative Task Planning for Multi-unmanned Vehicle Autonomous Exploration in Unknown Environment[J]. Electronics Optics & Control, 2023, 30(5): 73
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Received: Mar. 10, 2022
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Published Online: Nov. 29, 2023
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