Azhan Ab Rahman

Technical University of Malaysia Malacca

Papers

2

Total Citations

86

H-Index

2

About

Dr. Azhan Ab Rahman is a researcher in manufacturing automation and robotics, with a focus on intelligent vision systems and flexible work cell design. His most cited work, "Butt welding joints recognition and location identification by using local thresholding" (2018), has garnered 84 citations, demonstrating its significant impact on advancing computer vision techniques for industrial welding applications. This contribution addresses critical challenges in automated joint detection, improving precision and efficiency in robotic welding processes. Dr. Rahman also pioneered developmental work on a multi-shaped layout approach for configuring robot work cells, as detailed in his 2017 paper. This research proposes a novel framework that adapts work cell configurations based on the number of robots and layout variations, offering flexibility for future manufacturing environments. By integrating image processing with robotic system design, his work bridges the gap between perception and physical automation. Dr. Rahman’s contributions are valuable for researchers and engineers seeking to enhance robotic adaptability and quality control in production lines, making him a notable figure in the evolution of smart manufacturing.

Research Focus

Key Achievements

2
H-Index
2
Papers
86
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
Butt welding joints recognition and location identification by using local thresholding
84 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Technical University of Malaysia Malacca

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago