email   Email Us: phone   Call Us: +1 (914) 407-6109   57 West 57th Street, 3rd floor, New York - NY 10019, USA

Lupine Publishers Group

Lupine Publishers

  Submit Manuscript

ISSN: 2643-6744

Current Trends in Computer Sciences & Applications

Review Article(ISSN: 2643-6744)

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

Volume 2 - Issue 1

Parhi Dayal R1* and Sat Chidananda2

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

DOI: 10.32474/CTCSA.2020.02.000129

Full Text PDF

To view the Full Article   Peer-reviewed Article PDF


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|