Extensible Path Planning Intelligent System by Applying Nature Inspired Computing (NIC) Algorithm

  • Dr. Prashantha Rao, Dr. J. Praveen Kumar, Dr. K. Ram Mohan Rao

Abstract

The mobile robot path planning is a central problem in several areas such as modern industry and cyber physical systems. This requires an embedding intelligence into that robotics for ensuring feasible solutions to task execution. Many researchers developed an optimization algorithm for finding shortest path in known environment.In this proposed paper by applying extensible particle swarm optimization (EPSO) algorithm for a mobile robot to avoid obstacles without collision in a path to reach target (destination) in a small amount of time.The performance results of proposed EPSO algorithm shows better results with conventional algorithms to reach destination with minimum energy consumption and also minimize time.

Published
2021-08-20
How to Cite
Dr. Prashantha Rao, Dr. J. Praveen Kumar, Dr. K. Ram Mohan Rao. (2021). Extensible Path Planning Intelligent System by Applying Nature Inspired Computing (NIC) Algorithm. Design Engineering, 10010 - 10018. Retrieved from http://www.thedesignengineering.com/index.php/DE/article/view/3646
Section
Articles