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Experimental Path Planning of a Three-Wheeled Mobile Robot using Particle Swarm Optimization

机译:基于粒子群算法的三轮移动机器人实验路径规划

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Nowadays, robots are increasingly being used in different industries. One of the most important issues regarding the use of mobile robots are their smartness in finding the desired path. This problem becomes more complicated when the robot encounters numerous obstacles in a confined environment. In this study, using image processing and improving the Particle Swarm Optimization (PSO) path planning algorithm, for a space with different kind obstacles are investigated. Finally, by using softwares such as LabViewand MATLAB, this algorithm is tested in laboratory environment and its performance will be shown.
机译:如今,机器人正越来越多地用于不同的行业。关于使用移动机器人的最重要问题之一是它们在寻找所需路径方面的机敏性。当机器人在狭窄的环境中遇到许多障碍时,此问题将变得更加复杂。在这项研究中,使用图像处理和改进的粒子群优化(PSO)路径规划算法,研究了具有不同种类障碍物的空间。最后,通过使用LabView和MATLAB之类的软件,对该算法在实验室环境中进行了测试,并将展示其性能。

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