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Article · Trudy Universiteta · December 26, 2023

Coordination Algorithm of Autonomous Mobile Robot Swarms

Abzal E. Kyzyrkanov, Sabyrzhan K. Atanov, Shadi Aljawarneh, Zhenis Otarbay

Abstract

An algorithm is presented that coordinates the movements of multiple robots, ensuring that their positions remain relative to each other as they move. Also, this algorithm allows it to adapt to changing conditions, such as the presence of obstacles. To test the effectiveness of the proposed algorithm, a swarm of nine robots was simulated. The results showed that the algorithm successfully allowed the robots to maintain the desired formation while moving along a given route. Based on these results, it can be concluded that the proposed algorithm is a promising approach for coordinating the movement of a swarm of robots. The practical applications of this algorithm are numerous, including military missions, search and rescue operations, and vehicle control systems. The algorithm can also be extended to larger robot swarms or other types of autonomous systems. In addition, it is possible to further develop this algorithm to solve more complex problems related to robot swarm motion in a dynamic and unpredictable environment.

Distributed Control Multi-Agent SystemsModular Robots and Swarm IntelligenceRobotic Path Planning Algorithmsswarm roboticsmulti-robot coordinationformation control

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