Comparison of Task-Allocation Algorithms in Frontier-Based Multi-Robot Exploration
Identifieur interne : 000823 ( Main/Exploration ); précédent : 000822; suivant : 000824Comparison of Task-Allocation Algorithms in Frontier-Based Multi-Robot Exploration
Auteurs : Jan Faigl [République tchèque] ; Olivier Simonin [France] ; François Charpillet [France]Source :
English descriptors
Abstract
In this paper, we address the problem of efficient allocation of the navigational goals in the multi-robot exploration of unknown environment. Goal candidate locations are repeatedly determined during the ex- ploration. Then, the assignment of the candidates to the robots is solved as the task-allocation problem. A more frequent decision-making may im- prove performance of the exploration, but in a practical deployment of the exploration strategies, the frequency depends on the computational complexity of the task-allocation algorithm and available computational resources. Therefore, we propose an evaluation framework to study explo- ration strategies independently on the available computational resources and we report a comparison of the selected task-allocation algorithms deployed in multi-robot exploration.
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<front><div type="abstract" xml:lang="en">In this paper, we address the problem of efficient allocation of the navigational goals in the multi-robot exploration of unknown environment. Goal candidate locations are repeatedly determined during the ex- ploration. Then, the assignment of the candidates to the robots is solved as the task-allocation problem. A more frequent decision-making may im- prove performance of the exploration, but in a practical deployment of the exploration strategies, the frequency depends on the computational complexity of the task-allocation algorithm and available computational resources. Therefore, we propose an evaluation framework to study explo- ration strategies independently on the available computational resources and we report a comparison of the selected task-allocation algorithms deployed in multi-robot exploration.</div>
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