Mohammed Abaker

King Khalid University, Islamic University of Madinah

Papers

Total Citations

H-Index

About

Mohammed Abaker is a robotics researcher focused on advancing autonomous systems for real-world applications. His primary research areas include robotic manipulation, intelligent control systems, and computer vision for industrial automation. Abaker’s most cited work, a 2022 review on learning-based robotic manipulation in cluttered environments (39 citations), synthesizes cutting-edge techniques for enabling robots to dexterously grasp and transport objects, addressing critical challenges in human-robot collaboration. This contribution has helped shape how robots interact with unpredictable surroundings, making them safer and more efficient assistants in tasks ranging from manufacturing to disaster response. In 2024, he introduced the design of an intelligent self-balancing inspection robot (SBIR) for industrial monitoring, integrating segway technology, embedded control, and camera-based vision to autonomously detect corrosion and leaks in hazardous plants. Though early in its citation impact, this work showcases his commitment to practical, deployable robotics. Abaker’s research bridges the gap between theoretical learning methods and tangible robotic systems, offering students and engineers a clear pathway from algorithm design to real-world automation. His growing body of work underscores a dedication to making robots more adaptive, autonomous, and useful in complex environments.