AI & ML Based Approaches for Developing Shortest Efficient Motion Path Planning Algorithms for Autonomous Robots to Move from Source to Destination

Abstract

In this paper, we develop some of the efficient motion path planning algorithms for autonomous robots to move from source to destination using AI & ML approaches using software-based tools such as python, c/c++, java, etc… Several training algorithms are going to be developed so that any type of obstacle could be avoided by the robot in its workspace. The purpose of the global path planning algorithm is to find the shortest path from the current position to a target position while avoiding obstacles given a known map.