Abstract: Efficient robot navigation in operational environments requires precise tracking of the path from the starting point to the destination, typically generated using pre-stored map data. However, obstacles in the environment can complicate this process, making reliable obstacle avoidance critical for successful navigation. This paper introduces innovative techniques for robotic navigation and obstacle avoidance, specifically designed to assist visually impaired individuals. To mitigate the limitations and inaccuracies inherent in sensor data, we employ sensor fusion algorithms that integrate inputs from infrared, ultrasonic, vision, and tactile sensors. Additionally, visual landmarks are incorporated as reference points to improve internal odometry correction and enhance mapping accuracy. We believe that our approach not only increases the reliability of navigation but also enhances the robot's ability to operate effectively in diverse and challenging conditions.

Ahmad M. Bisher, Rufaida M. Shamroukh and Abed M. Shamroukh, “Enhancing Mobility – An Intelligent Robot for the Visually Impaired” International Journal of Advanced Computer Science and Applications(IJACSA), 15(11), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151179

@article{Bisher2024,
title = {Enhancing Mobility – An Intelligent Robot for the Visually Impaired},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151179},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151179},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {11},
author = {Ahmad M. Bisher and Rufaida M. Shamroukh and Abed M. Shamroukh}
}