Marizan Sulaiman
Papers
14
Total Citations
216
H-Index
7
About
Marizan Sulaiman is a robotics and automation researcher whose work has made significant strides in the field of intelligent welding systems and computer vision-guided robotics. Based on a body of research spanning nearly two decades, Sulaiman has focused primarily on developing automated weld seam detection, recognition, and path identification techniques for welding robots — a critical challenge in modern manufacturing environments. Sulaiman's most impactful contribution, "Butt Welding Joints Recognition and Location Identification by Using Local Thresholding" (2018), has garnered 84 citations, establishing him as a notable voice in vision-based welding automation. His early foundational review paper (2016) and autonomous seam detection study (2017) further cemented his expertise, collectively accumulating over 60 additional citations. His research consistently addresses a practical industrial problem: reducing the time and cost of manually programming robot welding paths in low-to-medium volume manufacturing. Beyond welding, Sulaiman has explored vision-guided robotic manipulators and novel applications such as automated vehicle fueling systems. His multi-year trajectory — from kinematics optimization to laser-vision sensor integration as recently as 2023 — reflects a sustained commitment to bridging computer vision and industrial robotics, making his work highly relevant to students and engineers pursuing smart manufacturing solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2Autonomous detection and identification of weld seam path shape position37 citations · 2017
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- 5Weld seam feature point extraction using laser and vision sensor13 citations · 2023
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- 9Vision Guided Manipulator for Optimal Dynamic Performance4 citations · 2006
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