Mohammed AbuBaker

Papers

Total Citations

H-Index

About

Mohammed AbuBaker is a researcher specializing in robotics, artificial intelligence, and embedded systems, with a particular focus on intelligent navigation and path-planning algorithms. His most notable contribution is the development of an "Intelligent Maze Solving Robot Based on Image Processing and Graph Theory Algorithms," a highly cited work (25 citations) that addresses the critical challenge of enabling robots to efficiently and reliably determine the shortest path in complex environments. By integrating image processing with graph theory, AbuBaker's approach enhances the speed and accuracy of autonomous navigation, offering practical solutions for real-world applications such as search-and-rescue operations and automated logistics. His work stands out for its innovative fusion of computer vision and algorithmic optimization, bridging the gap between theoretical robotics and tangible hardware implementation. AbuBaker’s research continues to inspire advancements in autonomous systems, making him a notable figure in the field of intelligent robotics and embedded control.