Hamdan Al-Musaibeli
Papers
3
Total Citations
53
H-Index
2
About
Hamdan Al-Musaibeli is a researcher at the forefront of intelligent manufacturing and robotic repair systems, with a focus on laser cladding and hybrid manufacturing processes. His work centers on developing autonomous, vision-guided methods for repairing high-value industrial components, directly contributing to the circular economy through remanufacturing. Al-Musaibeli’s most influential contribution is a vision-based spatial damage localization method for robotic laser cladding, which enables precise, automated repair of surface defects—a paper that has garnered 34 citations for its practical impact. He also advanced path planning algorithms for robot-assisted cladding, cited 17 times, and developed a feature extraction algorithm for hybrid additive-subtractive manufacturing. By integrating computer vision with robotic control, Al-Musaibeli’s research addresses critical challenges in restoring damaged parts to like-new functionality, reducing waste and extending product lifecycles. His work is essential reading for engineers and researchers in sustainable manufacturing, robotics, and automated repair, offering scalable solutions for industries seeking to close the supply chain loop through intelligent remanufacturing.
Research Focus
Key Achievements
Top Papers
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