Ahmad Zaki Shukor
Technical University of Malaysia Malacca, Yokohama National University
Papers
20
Total Citations
251
H-Index
7
About
Ahmad Zaki Shukor is a robotics and automation researcher whose work spans intelligent welding systems, biped locomotion, and human-robot interaction. He is perhaps best known for his pioneering contributions to vision-based weld seam detection, an area where his research has had considerable practical impact on robotic welding automation. His most cited work, "Butt Welding Joints Recognition and Location Identification by Using Local Thresholding" (2018, 84 citations), introduced robust image processing techniques that significantly advanced autonomous weld path identification, reducing the need for manual robot programming in manufacturing environments. Complementing this, his 2017 paper on autonomous weld seam detection (37 citations) and his influential 2016 review of vision-based welding robot systems (24 citations) helped establish a foundational framework for the field. Beyond welding robotics, Shukor has made notable strides in biped locomotion, proposing the Dual Length Linear Inverted Pendulum Method for 3D slope walking (23 citations), and has explored biarticular manipulator control and EMG-based robotic arms, reflecting a broad commitment to advancing human-assistive and autonomous robotic systems. His collective body of work, accumulating over 220 citations, marks him as a versatile contributor to modern robotics engineering and intelligent automation research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Autonomous detection and identification of weld seam path shape position37 citations · 2017
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- 9Workspace control of biarticular manipulator7 citations · 2011
- 10Design and Construction of 4-DOF EMG-Based Robot Arm System5 citations · 2019