Analysis of Firefly-Fuzzy Hybrid Controller for Wheeled Mobile Robot

B. Patle, Brijesh Patel, A. Pandey, O. Sahu, D. Parhi
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引用次数: 1

Abstract

At present, many intelligent techniques have been developed by various researchers in the field of mobile robot navigation. It is the task of getting proper movement in the environment to attain said goal by detecting and avoiding the obstacle with less human interference. For effective navigational strategy, Firefly-Fuzzy hybrid algorithm is analyzed over the unstructured environment because individual technique may not guaranty for an optimal solution over all configurations. The key advantage of the proposed hybrid controller is that it combines the multiple features of the different approaches into a single controller. The simulation and experimental results are presented at the end of paper over various environmental conditions and it is compared with the standalone algorithm; it is observed that the hybrid Firefly-Fuzzy controller performs well in terms of path and time optimization.
轮式移动机器人萤火虫-模糊混合控制器分析
目前,在移动机器人导航领域,各种研究人员已经开发了许多智能技术。它的任务是在环境中进行适当的运动,通过较少的人为干扰来检测和避开障碍物,以达到上述目标。为了获得有效的导航策略,在非结构化环境下分析了萤火虫-模糊混合算法,因为单个技术不能保证在所有配置下都能得到最优解。所提出的混合控制器的主要优点是它将不同方法的多个特征结合到单个控制器中。最后给出了各种环境条件下的仿真和实验结果,并与独立算法进行了比较;结果表明,萤火虫-模糊混合控制器在路径优化和时间优化方面具有较好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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