Papers
2
Total Citations
9
H-Index
2
About
Mohd Zaki Nuawi’s research focuses on industrial robotics, manufacturing automation, and machine vision, with a particular emphasis on improving robotic precision and autonomous control. His major contributions include pioneering work on the repeatability analysis of industrial robots under loaded conditions and varying distances, which addressed critical positional errors in real-world manufacturing environments. This foundational study, cited 6 times, provided essential insights for optimizing robot performance in production lines. Nuawi also advanced depth estimation techniques from monocular vision by leveraging image edge complexity, a novel approach that enhances collision avoidance in autonomous robotic arm motion. This work, with 3 citations, demonstrates his innovative application of visual data to robotic control systems. His research bridges the gap between theoretical robotics and practical manufacturing challenges, offering solutions that improve efficiency and reliability in automated processes. Nuawi’s achievements are notable for their direct impact on industrial robotics, where his findings on load-induced errors and vision-based depth perception continue to inform both academic studies and engineering practices. His work remains a valuable resource for researchers and students exploring robotics automation and sensor-based control.
Research Focus
Key Achievements
Top Papers
- 1
- 2Depth estimation from monocular vision using image edge complexity3 citations · 2011