Multi-robot hunting behavior

被引:0
|
作者
Belkhouche, F [1 ]
Belkhouche, B [1 ]
Rastgoufard, P [1 ]
机构
[1] Tulane Univ, Dept Elect Engn & Comp Sci, New Orleans, LA 70118 USA
关键词
multi-robot navigation; target tracking; hunting behavior; cooperative collision avoidance;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we consider the problem of hunting an unpredictably moving prey using a group of robots. We elaborate a mathematical model for the tracking navigation problem based on geometric rules. This model consists of systems of two differential equations describing the relative motion of the prey with respect to the robots. The control laws are decentralized and the robots move in different modes, namely: navigation-tracking mode, obstacles avoidance mode, cooperative collision avoidance, and circle formation. In the tracking-navigation mode, we use the deviated pursuit strategy, which consists of a closed loop control law based on geometric rules. The properties of this strategy are explored briefly. For obstacles and cooperative collision avoidance, a collision cone approach is used. Our method is illustrated using simulation.
引用
收藏
页码:2299 / 2304
页数:6
相关论文
共 50 条
  • [1] Multi-Robot Cooperative Hunting
    Shen, He
    Li, Ni
    Rojas, Salvador
    Zhang, Lanchun
    [J]. 2016 INTERNATIONAL CONFERENCE ON COLLABORATION TECHNOLOGIES AND SYSTEMS (CTS), 2016, : 349 - 353
  • [2] Multi-robot hunting in dynamic environments
    Cao, Zhiqiang
    Gu, Nong
    Tan, Min
    Nahavandi, Saeid
    Mao, Xiaofeng
    Guan, Zhenying
    [J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2008, 14 (01): : 61 - 72
  • [3] Multi-robot hunting based on Swarm Intelligence
    Nighot, Mininath K.
    Patil, Varsha H.
    Mani, G. S.
    [J]. 2012 12TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS), 2012, : 203 - 206
  • [4] A Multi-robot Coordinated Hunting Strategy with Dynamic Alliance
    Ma, Ying
    Cao, Zhiqiang
    Dong, Xiang
    Zhou, Chao
    Tan, Min
    [J]. CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 2338 - 2342
  • [5] Task Allocation for Multi-Robot Cooperative Hunting Behavior Based on Improved Auction Algorithm
    Sun Wei
    Dou LiHua
    Fang Hao
    Zhang HaiQiang
    [J]. PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 5, 2008, : 435 - 440
  • [6] Mobile Agent Based Obstacle Avoidance in Multi-robot Hunting
    Uehara, Shiyou
    Takimoto, Munehiro
    Kambayashi, Yasushi
    [J]. INTELLIGENT AND EVOLUTIONARY SYSTEMS, IES 2016, 2017, 8 : 443 - 452
  • [7] Behavior coordination in multi-robot systems
    Mendiburu, Fernando J.
    Morais, Marcos R. A.
    Lima, Antonio M. N.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON AUTOMATICA (ICA-ACCA), 2016,
  • [8] Multi-robot hunting strategy based on FIS and artificial immune algorithm
    段勇
    Huang Xiao
    [J]. High Technology Letters, 2019, 25 (01) : 57 - 64
  • [9] Multi-robot Target Hunting Based on Dynamic Adjustment Auction Algorithm
    Cao, Jinge
    Li, Min
    Wang, Zhongya
    Li, Jie
    Wang, Hanqing
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2016, : 211 - 216
  • [10] A GA based combinatorial auction algorithm for multi-robot cooperative hunting
    Gong, Jianwei
    Qi, Jianyong
    Xiong, Guangming
    Chen, Huiyan
    Huang, Wanning
    [J]. CIS: 2007 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PROCEEDINGS, 2007, : 137 - +