Multi-Robot Dynamic Role Assignment Based on Path Cost

被引:0
|
作者
Chen, Wanmi [1 ,2 ]
Chen, Tongluan [3 ]
机构
[1] Shanghai Key Lab Power Stn Automat Technol, Shanghai 200072, Peoples R China
[2] Sch Electromech Engn & Automat, Shanghai 200072, Peoples R China
[3] Shanghai Univ, Sch Electromech Engn & Automat, Shanghai 200072, Peoples R China
关键词
RoboCup; Role Assignment; Path Cost; Multi-agent System;
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
Robot soccer is one such task and it provides a unique challenge for multi-robot research. Robot soccer teams consist of a number of robots each performing a different role within the team. The roles discussed in this paper are: goalie, defender, special defender, center, supporter and attacker. These roles are two often statically assigned to the robots at the start of the game. Techniques based on path cost can be used to assign these roles dynamically to allow the team to adopt the optimal behavior for each situation. A strategy can be chosen based on robot and ball location which in turn determines which roles should be used in play. Once the roles are defined, they will be assigned to the best robot for each role in turn based on role importance. The approach has been successfully developed for Strive3D, our team for the RoboCup 3D-simulation league which changed to 6 VS 6 from 3 VS 3 in 2010. This paper presents the role assignment based on path cost employed and the favorable results obtained.
引用
收藏
页码:3721 / 3724
页数:4
相关论文
共 50 条
  • [31] A Petri net based approach for multi-robot path planning
    Marius Kloetzer
    Cristian Mahulea
    Discrete Event Dynamic Systems, 2014, 24 : 417 - 445
  • [32] A Petri net based approach for multi-robot path planning
    Kloetzer, Marius
    Mahulea, Cristian
    DISCRETE EVENT DYNAMIC SYSTEMS-THEORY AND APPLICATIONS, 2014, 24 (04): : 417 - 445
  • [33] Multi-Robot Path Planning Based on the Developed RRT* Algorithm
    Li Yang
    Cu Rongxi
    Yang Chenguang
    Xu Demin
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 7049 - 7053
  • [34] Task Assignment of Multi-Robot Systems based on Improved Genetic Algorithms
    Li, Siding
    Xu, Xin
    Zuo, Lei
    2015 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2015, : 1430 - 1435
  • [35] A Distributed Market-Based Algorithm for the Multi-Robot Assignment Problem
    Trigui, Sahar
    Koubaa, Anis
    Cheikhrouhou, Omar
    Youssef, Habib
    Bennaceur, Hachemi
    Sriti, Mohamed-Foued
    Javed, Yasir
    5TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT-2014), THE 4TH INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2014), 2014, 32 : 1108 - 1114
  • [36] Cluster-based Multi-robot Task Assignment, Planning, and Control
    Bai, Yifan
    Lindqvist, Bjorn
    Nordstrom, Samuel
    Kanellakis, Christoforos
    Nikolakopoulos, George
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2024, 22 (08) : 2537 - 2550
  • [37] Research on Multi-robot Cooperative Task Assignment Based on Cooperative Game
    Li, Man
    Wu, Huaiyu
    Chen, Lin
    2021 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT AUTONOMOUS SYSTEMS (ICOIAS 2021), 2021, : 424 - 429
  • [38] Distributed Task Assignment in Multi-Robot Systems based on Information Utility
    Mazdin, Petra
    Barcis, Michal
    Hellwagner, Hermann
    Rinner, Bernhard
    2020 IEEE 16TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2020, : 734 - 740
  • [39] Consensus-Based ADMM for Task Assignment in Multi-robot Teams
    Haksar, Ravi N.
    Shorinwa, Olaoluwa
    Washington, Patrick
    Schwager, Mac
    ROBOTICS RESEARCH: THE 19TH INTERNATIONAL SYMPOSIUM ISRR, 2022, 20 : 35 - 51
  • [40] A novel dynamic role assignment algorithm for robot soccer based on global minimum cost
    Yang, Linquan
    Liu, Zhao
    Lu, Weixian
    Luo, Zhongwen
    PROGRESS IN INTELLIGENCE COMPUTATION AND APPLICATIONS, PROCEEDINGS, 2007, : 101 - 103