Academy & Industry Research Collaboration Center (AIRCC)

Volume 10, Number 14, November 2020

Obstacle Avoidance and Path Finding for Mobile Robot Navigation

  Authors

Poojith Kotikalapudi and Vinayak Elangovan, Penn State Abington, USA

  Abstract

This paper investigates different methods to detect obstacles ahead of a robot using a camera in the robot, an aerial camera, and an ultrasound sensor. We also explored various efficient path finding methods for the robot to navigate to the target source. Single and multi-iteration anglebased navigation algorithms were developed. The theta-based path finding algorithms were compared with the Dijkstra’s Algorithm and their performance were analyzed.

  Keywords

Image Processing, Path Finding, Obstacle Avoidance, Machine Learning, Robot Navigation.