Coordinated Multi-UAV Adaptive Exploration Under Recurrent Connectivity Constraints

被引:0
|
作者
Su, Yaqianwen [1 ]
Shi, Dianxi [1 ,2 ]
Xue, Chao [2 ]
Xu, Jiachi [3 ]
He, Xionghui [3 ]
机构
[1] Def Innovat Inst, Artificial Intelligence Res Ctr, Beijing 100166, Peoples R China
[2] Tianjin Artificial Intelligence Innovat Ctr, Tianjin 300457, Peoples R China
[3] Natl Univ Def Technol, Coll Comp, Changsha 410073, Peoples R China
关键词
Multi-UAV systems; Adaptive exploration; Communication constraints; Recurrent connectivity; WIRELESS; NETWORKS;
D O I
10.1007/978-3-030-94822-1_48
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the field of multi-UAV collaborative exploration, communication is one of the most fundamental capabilities for effective target deployment and collaborative exploration during mission execution. In order to increase the quality and meet the real-time requirement in various real world situation, collaborate communication strategy has already been a research hotspot both in academia and industry. Recurrent connectivity is a representative strategy with which UAVs do not need to be connected to the base station all the time unless a specific event is triggered. However, in current researches based on the recurrent connectivity strategy, the condition threshold for triggering a new connection is set to be a fixed value during all mission process. This configuration lacks adaptability in real world mission with dynamic and various situations. This paper proposes a dynamic replanning mechanism, and establishes an adaptive multi-UAV collaborative exploration strategy based on recurrent connectivity. Extensive experiments in a well constructed simulation environment were done and the results show that the proposed strategy provides good situation awareness ability at the base station, while our strategy performs an efficient explanation in both complex and simple environments, it has a stronger ability to adapt to complex environments especially.
引用
收藏
页码:737 / 753
页数:17
相关论文
共 50 条
  • [1] Deep Reinforcement Learning for Multi-UAV Exploration Under Energy Constraints
    Zhou, Yating
    Shi, Dianxi
    Yang, Huanhuan
    Hu, Haomeng
    Yang, Shaowu
    Zhang, Yongjun
    [J]. COLLABORATIVE COMPUTING: NETWORKING, APPLICATIONS AND WORKSHARING, COLLABORATECOM 2022, PT II, 2022, 461 : 363 - 379
  • [2] Coordinated Multi-Robot Exploration under Connectivity Constraints
    Pal, Anshika
    Tiwari, Ritu
    Shukla, Anupam
    [J]. JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2013, 29 (04) : 711 - 727
  • [3] Strategies for coordinated multirobot exploration with recurrent connectivity constraints
    Jacopo Banfi
    Alberto Quattrini Li
    Ioannis Rekleitis
    Francesco Amigoni
    Nicola Basilico
    [J]. Autonomous Robots, 2018, 42 : 875 - 894
  • [4] Strategies for coordinated multirobot exploration with recurrent connectivity constraints
    Banfi, Jacopo
    Li, Alberto Quattrini
    Rekleitis, Ioannis
    Amigoni, Francesco
    Basilico, Nicola
    [J]. AUTONOMOUS ROBOTS, 2018, 42 (04) : 875 - 894
  • [5] Asynchronous Multirobot Exploration under Recurrent Connectivity Constraints
    Banfi, Jacopo
    Li, Alberto Quattrini
    Basilico, Nicola
    Rekleitis, Ioannis
    Amigoni, Francesco
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2016, : 5491 - 5498
  • [6] Fast Multi-UAV Decentralized Exploration of Forests
    Bartolomei, Luca
    Teixeira, Lucas
    Chli, Margarita
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 8 (09) : 5576 - 5583
  • [7] Multi-UAV Exploration with Limited Communication and Battery
    Cesare, Kyle
    Skeele, Ryan
    Yoo, Soo-Hyun
    Zhang, Yawei
    Hollinger, Geoffrey
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2015, : 2230 - 2235
  • [8] Search Method of disaster inspection coordinated by Multi-UAV
    ZheZhang
    JianWu
    ChengHe
    [J]. PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 2144 - 2148
  • [9] Coordinated Multi-UAV Reconnaissance Scheme for Multiple Targets
    Lu, Qiwen
    Qiu, Yifeng
    Guan, Chaotao
    Wang, Haoyu
    Zhu, Mengqi
    Xu, Biao
    Li, Wenji
    Fan, Zhun
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (19):
  • [10] An Adaptive Multi-UAV Area Coverage Method
    Zheng, Shiqi
    Li, Xinde
    [J]. 2022 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM 2022), 2022, : 882 - 885