Market Approaches to the Multi-Robot Task Allocation Problem: a Survey

被引:39
作者
Quinton, Felix [1 ]
Grand, Christophe [1 ]
Lesire, Charles [1 ]
机构
[1] French Aerosp Lab, ONERA, Informat Proc & Syst Dept, 1, Ave Edouard Belin, F-31400 Toulouse, France
关键词
Survey; Multi-robot systems; Task allocation; Market based approaches; Auctions; Consensus; CONTRACT NET PROTOCOL; ASSIGNMENT; TAXONOMY; ROBOTS; COORDINATION; ALGORITHMS; SEARCH;
D O I
10.1007/s10846-022-01803-0
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Market-based methods have received significant attention for solving the multi-robot task allocation problem. They have been used in a variety of multi-robot scenarios, such as patrolling, exploration, pick-and-delivery, and many more. In consequence, the literature on market-based methods is thriving, with many innovative concepts and complex scenarios studied. However, there has been no survey of this literature in the recent years. In this paper, we apply a rigorous systematic literature review method, designed to produce transparent and reproducible meta-analyses, in order to address the need for a survey of the literature of market-based methods applied to the multi-robot task allocation problem. We provide researchers with an introduction to market-based methods, a comprehensive classification of market-based methods, addressing both market and communication schemes, an analysis of the comparative studies on market-based methods, and a discussion of research trends.
引用
收藏
页数:31
相关论文
共 95 条
[1]   Software architectures for robotic systems: A systematic mapping study [J].
Ahmad, Aakash ;
Babar, Muhammad Ali .
JOURNAL OF SYSTEMS AND SOFTWARE, 2016, 122 :16-39
[2]  
Ahmed S., 2009, IEEE MILITARY COMMUN
[3]  
Ahmed S, 2011, 2011 - MILCOM 2011 MILITARY COMMUNICATIONS CONFERENCE, P884, DOI 10.1109/MILCOM.2011.6127790
[4]   Distributed boundary coverage with a team of networked miniature robots using a robust market-based algorithm [J].
Amstutz, Patrick ;
Correll, Nikolaus ;
Martinoli, Alcherio .
ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE, 2008, 52 (2-4) :307-333
[5]   Guest editorial - Advances in multirobot systems [J].
Arai, T ;
Pagello, E ;
Parker, LE .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 2002, 18 (05) :655-661
[6]  
Badreldin Mohamed, 2013, Advances in Artificial Intelligence, DOI 10.1155/2013/256524
[7]   Distributed multi-vehicle task assignment in a time-invariant drift field with obstacles [J].
Bai, Xiaoshan ;
Yan, Weisheng ;
Cao, Ming ;
Xue, Dong .
IET CONTROL THEORY AND APPLICATIONS, 2019, 13 (17) :2886-2893
[8]  
Basile F., 2019, IEEE INT C EMERGING
[9]   A New Kind of Article for Reproducible Research in Intelligent Robotics [J].
Bonsignorio, Fabio .
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2017, 24 (03) :178-182
[10]  
Cao L, 2014, 2014 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS IEEE-ROBIO 2014, P2368, DOI 10.1109/ROBIO.2014.7090692