Multi-robot Cooperative Task Processing in Great Environment

被引:0
|
作者
Zheng, Taixiong [1 ]
Li, Rui [1 ]
Guo, Wenhao [1 ]
Yang, Liangyi [1 ]
机构
[1] Chongqing Univ Posts & Telecommun, Automat Coll, Chongqing, Peoples R China
来源
2008 IEEE CONFERENCE ON ROBOTICS, AUTOMATION, AND MECHATRONICS, VOLS 1 AND 2 | 2008年
关键词
multi-robot task allocation; localization; wireless sensor network; ant colony algorithm; TDOA;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Multi-robot coordinated control has been practical. In order to apply multi-robot coordinated control technique in cooperative task processing in a great environment, we should allocate task for robots and the robot should locate itself in the environment. To solve multi-robot task allocation and robot localization problem for coordinated multi-robot in great environment, a wireless sensor network, composed of control center, wireless gateway and wireless sensors, was presented to control multi-robot. In order to improve the working efficient of multi-robot, the efficient optimization based multi-robot task allocation mechanism was proposed; by using ant colony algorithm, the task allocation solution was got and informed to robots via wireless sensor network by the control center. By adapting Time Difference of Arrival (TDOA) based approach, the robot localization was realized in virtue of the localization information provided by wireless sensors. A wireless sensor network was set up, and containers transporting on a dock by using three robots was simulated. Simulation results shown that multi-robot coordinated control in great environment was realized so that the robots can accomplish the tasks cooperatively with the least time, and the robot localization was realized.
引用
收藏
页码:421 / 425
页数:5
相关论文
共 50 条
  • [41] Task switching and multi-robot teams
    Goodrich, MA
    Quigley, M
    Cosenzo, K
    MULTI-ROBOT SYSTEMS - FROM SWARMS TO INTELLIGENT AUTOMATA VOL III, 2005, : 185 - 195
  • [42] Territorial multi-robot task division
    Schneider-Fontan, M
    Mataric, MJ
    IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1998, 14 (05): : 815 - 822
  • [43] A cooperative multi-robot architecture for moving a paralyzed robot
    Simonin, Olivier
    Grunder, Olivier
    MECHATRONICS, 2009, 19 (04) : 463 - 470
  • [44] Simulation Environment for Multi-robot Cooperative 3D Target Perception
    Dias, Andre
    Almeida, Jose
    Dias, Nuno
    Lima, Pedro
    Silva, Eduardo
    SIMULATION, MODELING, AND PROGRAMMING FOR AUTONOMOUS ROBOTS (SIMPAR 2014), 2014, 8810 : 98 - 109
  • [45] Multi-robot Cooperative Map Building in Unknown Environment Considering Estimation Uncertainty
    Tao Tong
    Huang Yalou
    Yuan Jing
    Sun Fengchi
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 2896 - +
  • [46] Multi-Robot Task Allocation and Route Planning for Indoor Building Environment Applications
    Mantha, Bharadwaj
    Menassa, Carol
    Kamat, Vineet
    CONSTRUCTION RESEARCH CONGRESS 2018: CONSTRUCTION INFORMATION TECHNOLOGY, 2018, : 137 - 146
  • [47] Multi-Robot Cooperative Task Allocation With Definite Path-Conflict-Free Handling
    Zhang, Hongguang
    Luo, Han
    Wang, Zan
    Liu, Yuhong
    Liu, Yuanan
    IEEE ACCESS, 2019, 7 : 138495 - 138511
  • [48] Optimization for cooperative task planning of heterogeneous multi-robot systems in an order picking warehouse
    Zhuang, Zilong
    Huang, Zizhao
    Sun, Yanning
    Qin, Wei
    ENGINEERING OPTIMIZATION, 2021, 53 (10) : 1715 - 1732
  • [49] Assess team Q-learning algorithm in a purely cooperative multi-robot task
    Wang, Ying
    De Silva, Clarence W.
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINERING CONGRESS AND EXPOSITION 2007, VOL 9, PTS A-C: MECHANICAL SYSTEMS AND CONTROL, 2008, : 627 - 633
  • [50] Task Allocation for Multi-Robot Cooperative Hunting Behavior Based on Improved Auction Algorithm
    Sun Wei
    Dou LiHua
    Fang Hao
    Zhang HaiQiang
    PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 5, 2008, : 435 - 440