Improvised multi-robot cooperation strategy for hunting a dynamic target

Hamed, Oussama and Hamlich, Mohamed (2020) Improvised multi-robot cooperation strategy for hunting a dynamic target. EAI Endorsed Transactions on Internet of Things, 6 (24). e5. ISSN 2414-1399

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Hunting moving targets with random motions and behavior is a challenge for robotic systems, and it occupies a significant position in the research on coordination and cooperation in multi-robot systems. Cooperative hunting between robots is used in a wide range of fields such as industry, military, rescue and other fields. The aim of this paper is to present a new strategy for target hunting by means of a cooperative multi-robot system in two-dimensional space, especially moving targets with random and unexpected behavior. The strategy is inspired from the behavior of wolves in hunting and Wolf Swarm Algorithm, as it summarizes the roles of robots in the system in three roles: the leader wolf, the antagonist wolf, and the follower wolf. This diversity of roles contributed to improve the convergence performance of the algorithm and reduce significantly the pursuit time. The validity of this strategy is supported by computer simulations.

Item Type: Article
Uncontrolled Keywords: Multi-Robot System (MRS), hunting, path planning, multiagent cooperation
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 12 Feb 2021 13:07
Last Modified: 12 Feb 2021 13:07

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