A PSO Based Robot Path Learning Method
K. Vijay Kumar1, G.R. Selokar2

1K. Vijay Kumar, Research Scholar, Department of Mechanical Engineering, Sri Satya Sai University of Technology and Medical Sciences, Sehore, Bhopal (M.P), India.
2Dr. G.R. Selokar, Professor, Department of Mechanical Engineering, Sri Satya Sai University of Technology and Medical Sciences, Sehore, Bhopal (M.P), India.
Manuscript received on 24 April 2019 | Revised Manuscript received on 06 May 2019 | Manuscript Published on 17 May 2019 | PP: 240-242 | Volume-7 Issue-6S4 April 2019 | Retrieval Number: F10450476S419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Assurance of an impact free way for a robot among begins and objective positions through impediments jumbled in a workspace is fundamental to the structure of a self-sufficient robot way arranging. This paper displays a diagram of self-sufficient versatile robot way arranging concentrating on calculations that produce an ideal way for a robot to explore in a situation. To finish the route task, the calculations will peruse the guide of nature or workspace and in this way endeavors to make free ways for the robot to cross in the workspace without crashing into articles and obstructions.
Keywords: Robot Path Learning Method Diagram.
Scope of the Article: Robotics Engineering