Design of a distributed architecture for cooperative multi-robot logistic system based on agent

被引:0
|
作者
Gao, JH [1 ]
Wu, CY [1 ]
Li, XM [1 ]
机构
[1] Zhejiang Sci Tech Univ, Res Inst Mechatron Engn, Hangzhou 310018, Peoples R China
来源
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND MECHANICS 2005, VOLS 1 AND 2 | 2005年
关键词
agent; architecture design; cooperative system; logistic system; multi-robot;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In order to simplify the complexity of multi-robot cooperative working in logistic automation system, a new idea of agent-based multi-robot logistic system which consists of PUMA560 robot, Staubli RX60 robot, Pinooer2 robot, pallet, conveyor, materials, storage, and computer control network is proposed. Thus the relative problems which exist in the cooperative multi-robot logistic system can be turned to some problems of agents, Such as sensing, planning and decision-making. Furthermore, the distributed multi-agent architecture for such intelligent production system is designed. The architecture comprises information agent, object agent, decision-making agent, cooperative agent, executive agent, monitor agent and interface agent in network environment, Which Call guarantee high cooperative efficiency, excellent adaptability and convenient expansibility. As the kernel part, decision-making agent is in charge of the behavior plan and control, Such as interference check, obstacle avoidance, and path plan. In addition, task cooperation Of multi-agent logistic system is discussed, and sonic important details including formal description, algorithm, behaviour rules and agent realization are given. Task can be dynamicly assigned by competitive rnechanism in multi-robot system. According to the provided architecture and algorithm, one small cooperative logistic system is developed. Simulation result shows that agent-based distributed architecture is helpful to develop the intelligent multi-robot logistic system.
引用
收藏
页码:1575 / 1579
页数:5
相关论文
共 50 条
  • [31] Distributed Fault Detection and Isolation for Flocking in a Multi-robot System with Imperfect Communication
    Shao Shiliang
    Wang Ting
    Yao Chen
    Li Xiaofan
    Zhao Hai
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2014, 11
  • [32] Research on multi-robot open architecture of an intelligent CNC system based on parameter-driven technology
    Song, Weike
    Wang, Gang
    Xiao, Juliang
    Wang, Guodong
    Hong, Ying
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2012, 28 (03) : 326 - 333
  • [33] A cooperative system design based on agent technology
    Popa, C. L.
    Hadar, A.
    ANNALS OF DAAAM FOR 2006 & PROCEEDINGS OF THE 17TH INTERNATIONAL DAAAM SYMPOSIUM: INTELLIGENT MANUFACTURING & AUTOMATION: FOCUS ON MECHATRONICS AND ROBOTICS, 2006, : 311 - 312
  • [34] Multi-robot, EKF-Based Visual SLAM System
    Schmidt, Adam
    COMPUTER VISION AND GRAPHICS, ICCVG 2014, 2014, 8671 : 562 - 569
  • [35] A Distributed Algorithm for the Multi-Robot Task Allocation Problem
    Giordani, Stefano
    Lujak, Marin
    Martinelli, Francesco
    TRENDS IN APPLIED INTELLIGENT SYSTEMS, PT I, PROCEEDINGS, 2010, 6096 : 721 - +
  • [36] Development of an Internet-based multi-robot teleoperation system
    Zheng, Wei
    Wang, Yuechao
    Xi, Ning
    IEEE ICMA 2006: PROCEEDING OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS, 2006, : 329 - +
  • [37] Multi-Robot Task Allocation Based on Utility and Distributed Computing and Centralized Determination
    Liu, Fei
    Liang, Shan
    Xian, Xiaodong
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 3259 - 3264
  • [38] Multi-robot Exploration System in Unknown Environment Based on Submap
    Zhang, Yinggang
    Zhang, Yanduo
    Li, Xun
    2021 4TH INTERNATIONAL CONFERENCE ON ROBOTICS, CONTROL AND AUTOMATION ENGINEERING (RCAE 2021), 2021, : 256 - 260
  • [39] ALLIANCE-ROS: A Software Architecture on ROS for Fault-Tolerant Cooperative Multi-robot Systems
    Li, Minglong
    Cai, Zhongxuan
    Yi, Xiaodong
    Wang, Zhiyuan
    Wang, Yanzhen
    Zhang, Yongjun
    Yang, Xuejun
    PRICAI 2016: TRENDS IN ARTIFICIAL INTELLIGENCE, 2016, 9810 : 233 - 242
  • [40] Risk Management System Based on Uncertainty Estimation by Multi-Robot
    Kato, Daichi
    Sekiyama, Kousuke
    Fukuda, Toshio
    JOURNAL OF ROBOTICS AND MECHATRONICS, 2010, 22 (04) : 456 - 466