A Concept of Multi-robots Multi-scale Coordination Model

被引:0
|
作者
Duan, Q. J. [1 ]
机构
[1] Xidian Univ, Dept Elect Mech Engn, Xian 710071, Peoples R China
关键词
D O I
10.1109/ICNC.2008.581
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The immune system is a distributed autonomous system. We found the analogy between multi autonomous mobile robots system (MAMRS) and immune system, and applied immune system mechanism to MAMRS. Through thoroughly analyzing the structure and task characteristic of MAMRS, a multi-scale coordination model is presented (cellular level, tissue level, organ level, body level), and a structural framework of the coordinative multi-robot system is constructed Behavior-based action of robot occurred at Cellular level. The action of a group sensors occurred at tissue level. The action of single robot occurred at organ level. A group robots' action occurred at body level. Contrast test for three models is done. Experiments on simulation soccer robot platform show that the multi-scale coordination model is feasible and superior.
引用
收藏
页码:602 / 604
页数:3
相关论文
共 50 条
  • [1] Planning coordination and execution in multi-robots environment
    Alami, R
    Ingrand, F
    Qutub, S
    [J]. 8TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS, 1997 PROCEEDINGS - ICAR'97, 1997, : 525 - 530
  • [2] Research on coordination of multi-robots system based on swarm intelligence
    Zhang, Rubo
    Wang, Zuowei
    Xiong, Jiang
    [J]. ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 2, 2006, : 653 - +
  • [3] Adaptive Multi-Robots Synchronization
    Bouteraa, Yassine
    Poisson, Gerard
    Ghommam, Jawhar
    Derbel, Nabil
    [J]. IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE 2010), 2010, : 1797 - 1802
  • [4] Multi-Robots Coverage Approach
    Chellali, Ryad
    Baizid, Khelifa
    [J]. 2014 IEEE SYMPOSIUM ON ROBOTIC INTELLIGENCE IN INFORMATIONALLY STRUCTURED SPACE (RIISS), 2014, : 62 - 67
  • [5] Simulation of Collaborative Multi-robots
    Kim, Sunghae
    Kwon, Gihwon
    [J]. CONVERGENCE AND HYBRID INFORMATION TECHNOLOGY, 2012, 310 : 588 - 593
  • [6] PRIORITY SELECTION FOR MULTI-ROBOTS
    Ji, S. H.
    Lee, S. M.
    Shon, W. H.
    [J]. ICINCO 2010: PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 2, 2010, : 403 - 408
  • [7] Simulation of Trajectory Tracking and Motion Coordination for Heterogeneous Multi-Robots System
    Mutawe, Samer
    Hayajneh, Mohammad
    BaniHani, Suleiman
    Al Qaderi, Mohammad
    [J]. JORDAN JOURNAL OF MECHANICAL AND INDUSTRIAL ENGINEERING, 2021, 15 (04): : 337 - 345
  • [8] Research on the Multi-Robots Coordination Conveying Strategy in Hot Stamping Line
    Fu, W.
    Wang, L.
    Wang, Q.
    Zhu, B.
    Zhang, Y. S.
    [J]. ADVANCED HIGH STRENGTH STEEL AND PRESS HARDENING, 2017, : 504 - 509
  • [9] A new capture strategy of multi-robots
    Fu, Yong
    Wang, Haojie
    [J]. Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2008, 36 (02): : 26 - 29
  • [10] Multi-robots Cooperative Online FastSLAM
    Cai Yunfei
    Tang Zhenmin
    Zhao Chunxia
    [J]. CHINESE JOURNAL OF ELECTRONICS, 2011, 20 (02) : 223 - 227