Analysis and Review of Average Fuzzy Inference Technique and Other AI Techniques Used for Robot Control and Navigation

R. ParhiDayal
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Abstract

Finite element analysis [34-37] can be utilized for evaluating the mechanical properties of various structures used for fabricating bodies and frames of the robots. Nature driven Fire Fly algorithm is one of the promising AI technique to address many optimization problems. Engineers have used Fire Fly algorithm [38-40] for path planning of robotic agents in uncertain environments. Abstract In this paper application of average fuzzy inference technique has been analysed for navigation control of robotic agent. Also, the reviews of other AI techniques for control of robots are carried out. The robotic agent uses sensors to map the surroundings and take the decision with the help of Fuzzy AI technique to avoid obstacles. In this paper a novel averaging method has been deployed to optimize the results obtained from various fuzzy membership functions. Using the Average Fuzzy Inference technique robot navigates from start position to goal position avoiding obstacles while reaching the target. The simulation results agree with experimental results. The methodology can be used for various applications by the scientific communities to address various engineering problems.
平均模糊推理技术及其他人工智能技术在机器人控制与导航中的应用分析与综述
有限元分析[34-37]可用于评估用于制造机器人身体和框架的各种结构的力学性能。自然驱动的萤火虫算法是解决许多优化问题的有前途的人工智能技术之一。工程师们已经使用Fire Fly算法[38-40]来规划机器人代理在不确定环境中的路径。摘要本文分析了平均模糊推理技术在机器人智能体导航控制中的应用。此外,对机器人控制的其他人工智能技术进行了综述。机器人代理使用传感器绘制周围环境,并借助模糊人工智能技术做出决策以避开障碍物。本文采用了一种新的平均方法来优化由各种模糊隶属函数得到的结果。利用平均模糊推理技术,机器人从起始位置导航到目标位置,在到达目标位置的同时避开障碍物。仿真结果与实验结果吻合较好。该方法可用于科学界解决各种工程问题的各种应用。
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