Abstract

To ensure coordination and effective interaction between groups of autonomous mobile robots, there are several approaches that can be used to achieve common goals and solve problems in autonomous systems and robotics. These approaches include the Known Field and Leader-Known method, the behavioral approach, and the consensus-based strategy. Each of these methods has its own characteristics and advantages, and they can be used depending on specific conditions and tasks in the context of autonomous systems and mobile robots. The main field and leader-aware approach is based on simulating the motion of particles in a potential field, where one of the works can act as a "leader" and the others follow it. This method provides movement towards a given target and avoids obstacles on the way to passing distances and directions. The behavioral approach involves the use of a set of rules and algorithms that initiate the behavior of everyone in the group. Each robot has its own "behavioral" rules that are used to respond to specific conditions and conditions. This approach provides flexibility and adaptability in different scenarios and efficiency for teams working in a variety of settings. The consensus-based approach is based on the idea of achieving suitability and synchronizing work with each other in a group. Robots exchange information and interact with each other, in order to achieve overall consistency in their movement and activities. This method allows for collaborative coordination and execution of tasks that require interaction between robots. The choice of a specific approach depends on the purpose and requirements of the tasks, and also takes into account specific conditions. In many cases, a combination of these methods can be an effective solution for solving complex problems and achieving the most effective interaction between robots. All this contributes to the further development of autonomous systems and ensures their ability to work as a unified group in various fields, including transport, logistics and other important industries.

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