Role of Internet of Things and Machine Learning in Finding the Optimal Path for an Autonomous Mobile Robot

Abstract

Path planning for the mobile robot is an emerging area in today’s world; the development of autonomous vehicles like driverless cars and mobile robots has tremendously enhanced researchers to work more on path planning strategies using emerging technologies, like the Internet of things and machine learning. These technologies will provide optimal solutions than classical problem-solving algorithms. The article deals with path planning for mobile robots in an unknown environment using deep learning and the Internet of things. These technologies are adopted to work in different strategies like environmental prediction, object detection/ obstacle detection, and finding a path. For this, an innovative model is proposed to detect static and dynamic obstacles from the input data and finding a path from one point to another point.