Role-Based Autonomous Multi-Robot Exploration

被引:0
|
作者
de Hoog, Julian [1 ]
Cameron, Stephen [1 ]
Visser, Amoud [2 ]
机构
[1] Univ Oxford, Comp Lab, Oxford OX1 3QD, England
[2] Univ Amsterdam, Integrated Syst Lab, Amsterdam, Netherlands
关键词
multi-agent systems; robotic exploration; role-based behaviour; limited communication; search and rescue robots;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Thanks to advances in both computer science and engineering, the divide between robotics and multi-agent systems is shrinking. Robots are capable of performing an ever wider range of tasks, and there is an increasing need for solutions to high-level problems such as multi-agent coordination. In this paper we examine the problem of finding a robust exploration strategy for a team of mobile robots that takes into account communication limitations. We propose four performance metrics to evaluate and compare existing multi-robot exploration algorithms, and present a role-based approach in which robots either act as explorers or as relays. The result is a complete exploration of the environment in which information is efficiently returned to a central command centre, which is particularly applicable to the domain of rescue robotics.
引用
收藏
页码:482 / +
页数:2
相关论文
共 50 条
  • [31] Multi-Robot Exploration with Communication Restrictions
    Jensen, Elizabeth A.
    PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI), 2015, : 4373 - 4374
  • [32] Multi-Robot Exploration in Wireless Environments
    Anshika Pal
    Ritu Tiwari
    Anupam Shukla
    Cognitive Computation, 2012, 4 : 526 - 542
  • [33] Autonomous multi-robot sensor-based cooperation for nanomedicine
    Cavalcanti, A
    Freitas, RA
    INTERNATIONAL JOURNAL OF NONLINEAR SCIENCES AND NUMERICAL SIMULATION, 2002, 3 (3-4) : 743 - 746
  • [34] SMMR-Explore: SubMap-based Multi-Robot Exploration System with Multi-robot Multi-target Potential Field Exploration Method
    Yu, Jincheng
    Tong, Jianming
    Xu, Yuanfan
    Xu, Zhilin
    Dong, Haolin
    Yang, Tianxiang
    Wang, Yu
    2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 8779 - 8785
  • [35] On Benchmarking of Frontier-Based Multi-Robot Exploration Strategies
    Faigl, Jan
    Kulich, Miroslav
    2015 EUROPEAN CONFERENCE ON MOBILE ROBOTS (ECMR), 2015,
  • [36] A multi-robot exploration approach based on distributed graph coloring
    Carvalho, Fabricio F.
    Cavalcante, Rodolfo C.
    Vieira, Marcos A. M.
    Chaimowicz, Luiz
    Campos, Mario F. M.
    2013 IEEE LATIN AMERICAN ROBOTICS SYMPOSIUM (LARS 2013), 2013, : 142 - 147
  • [37] Genetic algorithm-based multi-robot cooperative exploration
    Ma, Xin
    Zhang, Qin
    Li, Yibin
    2007 IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1-7, 2007, : 1596 - 1601
  • [38] Potential field based integrated exploration for multi-robot teams
    Julia, Miguel
    Gil, Arturo
    Paya, Luis
    Reinoso, Oscar
    ICINCO 2008: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL RA-2: ROBOTICS AND AUTOMATION, VOL 2, 2008, : 308 - 314
  • [39] A behaviour-based optimisation strategy for multi-robot exploration
    Fang, G
    Dissanayake, G
    Lau, H
    2004 IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS, VOLS 1 AND 2, 2004, : 875 - 879
  • [40] Cooperative exploration based on supervisory control of multi-robot systems
    Dai, Xuefeng
    Jiang, Laihao
    Zhao, Yan
    APPLIED INTELLIGENCE, 2016, 45 (01) : 18 - 29