Variable Utility in Multi-Robot Task Allocation Systems

被引：0

作者：

Bastos, Guilherme S. ^{[1
]}

Ribeiro, Carlos Henrique C. ^{[2
]}

de Souza, Luiz Edival ^{[1
]}

机构：

[1] Univ Fed Itajuba, Syst Engn & Informat Technol Inst, Itajuba, MG, Brazil

[2] Technol Aeronaut Inst, Computat Dept, Sao Jose Dos Campos, Brazil

来源：

2008 5TH LATIN AMERICAN ROBOTICS SYMPOSIUM (LARS 2008) | 2008年

关键词：

D O I：

暂无

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

Multi-Robot Task Allocation (MRTA) systems have been thoroughly studied by the robotic community in the last decade, with the purpose of creating systems that can solve real problems with good results. Most MRTA architectures consider non-variable utility measures to value task execution payoff. However, in realistic settings there are problems such as tasks having priority and time lifespan, that can be better modeled with variable utilities. This paper introduces variable utility applied to MRTA systems, and exemplifies it by presenting a model for a box-pushing problem with this new concept.

引用

页码：159 / +

页数：2

共 50 条

[21] Mechanism Selection for Multi-Robot Task Allocation
Schneider, Eric
Sklar, Elizabeth I.
Parsons, Simon
[J]. TOWARDS AUTONOMOUS ROBOTIC SYSTEMS (TAROS 2017), 2017, 10454 : 421 - 435
[22] A comprehensive taxonomy for multi-robot task allocation
Korsah, G. Ayorkor
Stentz, Anthony
Dias, M. Bernardine
[J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2013, 32 (12): : 1495 - 1512
[23] Multi-robot task allocation in the light of uncertainty
Ostergaard, EH
Mataric, MJ
Sukhatme, GS
[J]. 2002 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS I-IV, PROCEEDINGS, 2002, : 3002 - 3007
[24] ALTERNATIVE METHODS FOR MULTI-ROBOT TASK ALLOCATION
Choudhury, B. B.
Biswal, B. B.
[J]. JOURNAL OF ADVANCED MANUFACTURING SYSTEMS, 2009, 8 (02) : 163 - 176
[25] Multi-robot exploration in task allocation problem
Reza Javanmard Alitappeh
Kossar Jeddisaravi
[J]. Applied Intelligence, 2022, 52 : 2189 - 2211
[26] Simultaneous Task Subdivision and Allocation using Negotiations in Multi-Robot Systems
Rossi, Claudio
Aldama, Leyre
Barrientos, Antonio
[J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2015, 12
[27] Discrete Genetic Algorithm for Solving Task Allocation of Multi-robot Systems
Soleimanpour-Moghadam, Mohadese
Nezamabadi-Pour, Hossein
[J]. 2020 4TH CONFERENCE ON SWARM INTELLIGENCE AND EVOLUTIONARY COMPUTATION (CSIEC), 2020, : 6 - 9
[28] Task allocation and path planning for multi-robot systems in intelligent warehousing
Chu, Jing
Tian, Yiqiu
Yue, Qi
Huang, Yong
[J]. Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2024, 42 (05): : 929 - 938
[29] Distributed Task Assignment in Multi-Robot Systems based on Information Utility
Mazdin, Petra
Barcis, Michal
Hellwagner, Hermann
Rinner, Bernhard
[J]. 2020 IEEE 16TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2020, : 734 - 740
[30] An exploration task allocation strategy based on benefit for multi-robot systems
[J]. 1600, ICIC Express Letters Office, Tokai University, Kumamoto Campus, 9-1-1, Toroku, Kumamoto, 862-8652, Japan (07):

← 1 2 3 4 5 →