scholarly journals FA-SETPOWER-MRTA: A Solution for Solving the Multi-Robot Task Allocation Problem

2018 ◽  
pp. 317-328 ◽  
Author(s):  
Farouq Zitouni ◽  
Ramdane Maamri
Keyword(s):  
Task Allocation ◽  
Allocation Problem ◽  
Robot Task ◽  
Multi Robot

FA–QABC–MRTA: a solution for solving the multi-robot task allocation problem

2019 ◽  
Vol 12 (4) ◽  
pp. 407-418 ◽  
Author(s):  
Farouq Zitouni ◽  
Ramdane Maamri ◽  
Saad Harous
Keyword(s):  
Task Allocation ◽  
Allocation Problem ◽  
Robot Task ◽  
Multi Robot

An arrovian analysis on the multi-robot task allocation problem: Analyzing a behavior-based architecture

2021 ◽  
pp. 103839
Author(s):  
Wallace Pereira Neves dos Reis ◽  
Gustavo Leite Lopes ◽  
Guilherme Sousa Bastos
Keyword(s):  
Task Allocation ◽  
Allocation Problem ◽  
Behavior Based ◽  
Robot Task ◽  
Multi Robot

scholarly journals Towards a formal analysis of the multi-robot task allocation problem using set theory

2021 ◽  
Vol 10 (2) ◽  
pp. 1092-1104
Author(s):  
Farouq Zitouni ◽  
Ramdane Maamri ◽  
Saad Harous
Keyword(s):  
Set Theory ◽  
Task Allocation ◽  
Formal Analysis ◽  
Efficient Solutions ◽  
Allocation Problem ◽  
Allocation Problems ◽  
Robot Systems ◽  
Robot Task ◽  
Large Groups ◽  
Multi Robot

Nowadays, the multi-robot task allocation problem is one of the most challenging problems in multi-robot systems. It concerns the optimal assignment of a set of tasks to several robots while optimizing a given criterion subject to some constraints. This problem is very complex, particularly when handling large groups of robots and tasks. We propose a formal analysis of the task allocation problem in a multi-robot system, based on set theory concepts. We believe that this analysis will help researchers understand the nature of the problem, its time complexity, and consequently develop efficient solutions. Also, we used that formal analysis to formulate two well-known taxonomies of multi-robot task allocation problems. Finally, a generic solving scheme of multi-robot task allocation problems is proposed and illustrated on assigning papers to reviewers within a journal.

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