基于粒子群算法的网络机器人群机器人控制

Levent Türkler, T. Akkan, L. Akkan
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引用次数: 2

摘要

本研究利用粒子群优化算法在Webots仿真环境中创建机器人运动,实现群体机器人的集体任务行为。除了基本粒子群方程外,还讨论了机器人运动达到期望点所需的物理条件。在这项研究中,我们更喜欢模拟环境而不是现实世界。同时,通过对现有仿真程序的介绍,给出了Webots仿真程序的相关信息,并介绍了其工作体系结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Control of swarm robotics in Webots with PSO
In this study, robot movements were created in Webots simulation environment with Particle Swarm optimization algorithm to implement collective task behaviors in swarm robots. In addition to the basic PSO equation, the physical conditions necessary for the robots’ movements to reach the desired point are discussed. For this study, the simulator environment was preferred instead of the real world. In the meantime, by introducing the existing simulator programs, information about the Webots simulation program was given and the working architectures were introduced.
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