A Novel Approach on Prevention of a Mobile Exploration in Machine Using AI

Authors(3) :-J. Antony Daniel Rex, S. Dinakaran, S. Muthukumaran

This paper deals with a low cost solution to problem avoidance for a mobile machine using just a single Artifical Intelligennce. It allows the machine to navigate smoothly in an unknown environment, avoiding collisions, without having to stop in front of problems. The problem avoidance process is made up of three distinct stages - the mapping algorithm, the core problem avoidance algorithm, and the steering algorithm. The mapping algorithm takes the raw Artifical Intelligennce readings and processes them to create higher resolution maps from the wide-angle Artifical Intelligennce. The problem avoidance algorithm is based on the potential field theory which considers the machine to be a test charge that is repelled by all the problems around it, and which moves in the direction of the resultant of the forces acting on it. An algorithm which steers a mobile machine based on the differential drive system is also discussed.

Authors and Affiliations

J. Antony Daniel Rex
Ph. D. Scholar, Anna University, Salem, Tamilnadu, India
S. Dinakaran
Assistant Professor, PG and Reseach Department of Computer Science, St.Joseph College of Arts & Science (Autonomous) Cuddalore, Tamilnadu, India
S. Muthukumaran

Mobile Machine, Problem Avoidance, Autonomous Navigation, Ultrasonic Range Sensor.

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Publication Details

Published in : Volume 5 | Issue 1 | January-February 2019
Date of Publication : 2019-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 349-356
Manuscript Number : CSEIT195186
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

J. Antony Daniel Rex, S. Dinakaran, S. Muthukumaran, "A Novel Approach on Prevention of a Mobile Exploration in Machine Using AI ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.349-356, January-February-2019. Available at doi : https://doi.org/10.32628/CSEIT195186
Journal URL : https://res.ijsrcseit.com/CSEIT195186 Citation Detection and Elimination     |      |          | BibTeX | RIS | CSV

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