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

Author (s) : T.Sathya Priya, Dr.P.Periyasamy, R.Ramya

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Abstract :
This paper deals with a low cost solution to problem avoidance for a mobile machine using just a single Artifical Intelligence. 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 Artificial 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

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

Conference Date : 13/11/2020

Pages : 384

Paper ID : 20384