Muhammad Muddassir
Hong Kong Polytechnic University, Beijing Institute of Technology
Papers
7
Total Citations
48
H-Index
4
About
Muhammad Muddassir is a pioneering researcher at the intersection of robotics, medical technology, and automated inspection systems. His work primarily focuses on developing intelligent robotic systems for precision tasks, with two standout contributions: automating skin photorejuvenation procedures and advancing surface defect inspection for industrial components. In the medical domain, Muddassir has developed a numerical multi-layer skin model subjected to pulsed laser irradiation (16 citations) and a model predictive thermal dose control system for robotic laser treatment, demonstrating that robots can potentially outperform human operators in delivering safe, consistent photorejuvenation. His industrial robotics research is equally impactful, featuring a sensor-based robotic line scan system with adaptive ROI for inspecting defects over convex free-form specular surfaces (14 citations) and a PSO-based optimal coverage path planning method for 3C electronics component inspection (7 citations). Muddassir has also contributed to construction automation with a ROS-based framework for tower crane path planning and trajectory tracking, and explored humanoid robot learning through demonstration. His interdisciplinary approach—bridging medical laser therapy, computer vision, and robotic manipulation—positions him as a versatile innovator whose work promises to enhance both healthcare delivery and manufacturing quality control.
Research Focus
Key Achievements
Top Papers
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- 4Can a robot outperform a human operator in skin photorejuvenation?4 citations · 2021
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