Investigating dominant situation of resting behavior as a potential labor pool in robotic swarm for group foraging

The foraging task is a commonly studied scenario for distributed swarm robotic systems. The robots switch searching and resting behavior in a distributed manner to perform foraging quickly and energy efficiently. It is known that robots that are resting can act as a potential labor pool in addition to saving energy. Because they function as a potential labor pool, resting robots can help with foraging if needed. In this study, we consider the group foraging task, which requires two or more robots to transport a food item. In a group foraging task, resting robots can help with the transportation of a heavy food item in response to the recruitment of other robots. Until now, the efficacy of the resting behavior as a potential labor pool has been suggested, but the environments in which this function is dominant is still unknown. In this study, we propose a state-transition model for robots that includes the resting behavior and investigate the performance through multi-agent simulation. By comparing models with and without the resting behavior, we found that the function of the resting behavior as a potential labor pool is dominant in cases when the food items are heavy or the population is small.

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Publication Details

Journal
Adaptive Behavior
Published
2025-03-04
DOI
https://doi.org/10.1177/10597123241309184
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
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0.00
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article

Investigating dominant situation of resting behavior as a potential labor pool in robotic swarm for group foraging

Tomohiro Hayakawa, Fumitoshi Matsuno, Toshiyuki Yasuda
Adaptive Behavior
Distributed Control Multi-Agent Systems
article

Investigating dominant situation of resting behavior as a potential labor pool in robotic swarm for group foraging

Tomohiro Hayakawa, Fumitoshi Matsuno, Toshiyuki Yasuda
article en

Abstract

The foraging task is a commonly studied scenario for distributed swarm robotic systems. The robots switch searching and resting behavior in a distributed manner to perform foraging quickly and energy efficiently. It is known that robots that are resting can act as a potential labor pool in addition to saving energy. Because they function as a potential labor pool, resting robots can help with foraging if needed. In this study, we consider the group foraging task, which requires two or more robots to transport a food item. In a group foraging task, resting robots can help with the transportation of a heavy food item in response to the recruitment of other robots. Until now, the efficacy of the resting behavior as a potential labor pool has been suggested, but the environments in which this function is dominant is still unknown. In this study, we propose a state-transition model for robots that includes the resting behavior and investigate the performance through multi-agent simulation. By comparing models with and without the resting behavior, we found that the function of the resting behavior as a potential labor pool is dominant in cases when the food items are heavy or the population is small.

Adaptive BehaviorVol. 33(4)
Shizuoka University (JP), University of Toyama (JP), Osaka Institute of Technology (JP)
Openalex Percentile: Top 97%
Distributed Control Multi-Agent Systems
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Investigating dominant situation of resting behavior as a potential labor pool in robotic swarm for group foraging — Tomohiro Hayakawa, Fumitoshi Matsuno, et al. · Adaptive Behavior (2025) | TGRS Research Map | TGRS