Wolf Pack's Role Matching Labor Division Model for Dynamic Task Allocation of Swarm Robotics
International Journal of Swarm Intelligence Research, ISSN: 1947-9271, Vol: 13, Issue: 1, Page: 1-26
2022
- 2Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
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Article Description
First, through in-depth analysis of the diversified collective behaviors in wolf pack, this study summarizes four remarkable features of wolf pack's labor division. Second, the wolf pack's role-task matching labor division mechanism is investigated, namely the individual wolves perform specific tasks that match their respective roles, and then a novel role matching labor division model is proposed. Finally, the performances of RMM are tested and evaluated with two swarm robotics task allocation scenarios. It is proved that RMM has higher solving efficiency and faster calculation speed for the concerned problem than the compared approach. Moreover, the proposed model shows advantages in the task allocation balance, robustness, and real time, especially in the dynamic response capability to the complex and changing environments.
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