Mohammad Hafidz Hasnor Faiz
Papers
1
Total Citations
2
H-Index
1
About
Mohammad Hafidz Hasnor Faiz is a robotics researcher whose work focuses on the intersection of computer vision, motion planning, and industrial automation. His key research areas include inverse kinematics optimisation, real-time colour sorting, and 6-DOF manipulator control. His most-cited paper, "Forward and optimised IK utilising the Levenberg-Marquardt algorithm 6-DOF robot manipulator for sorting applications" (2025), addresses a critical bottleneck in automated sorting: the high computational cost and complexity of integrating vision sensors with robot motion. By applying the Levenberg-Marquardt algorithm to optimise inverse kinematics, Faiz’s work reduces processing strain and enables more efficient, real-time colour sorting—a contribution with direct implications for manufacturing and logistics. Although early in his career, his research has already garnered citations, reflecting its relevance to practitioners seeking cost-effective automation solutions. Faiz’s approach stands out for its practical focus on hardware-software integration, offering a pathway to simpler, faster, and more affordable robotic sorting systems. His work represents a promising step toward making intelligent robotics accessible for high-speed industrial applications.
Research Focus
Key Achievements
Top Papers
- 1