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PSO Based Path Planning Approach for Multi Service Robots in Dynamic Environments

机译:动态环境下基于PSO的多业务机器人路径规划方法

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Creating a path planning for multi-robot traveling in dynamic environments is a very difficult problem. In this paper, it is aimed to create the most appropriate path plan for reaching the target by overcoming the obstacles encountered by the service robots. For this, particle swarm optimization (PSO) based navigation is proposed. Multi-robot in the same environment have been communicated with each other in order to form the path plan. The robot positions and suitability functions that are constantly updated ensure the best results. This study was designed to simulate Virtual Reality Educational Pathfinders (VREP) in a simulated environment and to work synchronously with the codes created in MATLAB. Looking at the experimental results, it is observed that the proposed method provides an effective solution to the path planning problem.
机译:为动态环境中的多机器人行驶创建路径规划是一个非常困难的问题。本文旨在通过克服服务机器人遇到的障碍来创建最合适的路径计划,以达到目标。为此,提出了基于粒子群优化(PSO)的导航。为了形成路径计划,已在同一环境中将多机器人相互通信。不断更新的机器人位置和适应性功能可确保获得最佳效果。本研究旨在在模拟环境中模拟虚拟现实教育探路者(VREP),并与在MATLAB中创建的代码同步工作。观察实验结果,发现该方法为路径规划问题提供了有效的解决方案。

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