Obstacle avoidance and path finding for mobile robot navigation
This work addresses the problem of mobile robot navigation for autonomous systems, focusing on obstacle avoidance and efficient pathfinding.
This paper explores obstacle detection using a robot camera, an aerial camera, and an ultrasound sensor, and investigates pathfinding methods. It develops single and multi-iteration angle-based navigation algorithms and compares them against Dijkstra's algorithm.
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 angle-based navigation algorithms were developed. The theta-based path finding algorithms were compared with the Dijkstra Algorithm and their performance were analyzed.