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

Parhi Dayal R¹* and Sat Chidananda²

Received: November 16, 2020;   Published: November 23, 2020

DOI: 10.32474/CTCSA.2020.02.000129

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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.

Keywords:Robot; Artificial intelligence; Control; Navigation; Average fuzzy inference

Abstract| Introduction| Analysis of Average Fuzzy Inference Technique| Conclusion| References|