Zalina Kamis

Technical University of Malaysia Malacca

Papers

7

Total Citations

121

H-Index

5

About

Zalina Kamis is a robotics and automation researcher whose work bridges industrial welding, humanoid control, and intelligent mobile systems. Her most impactful contribution lies in computer vision for manufacturing, where she developed local thresholding techniques for butt welding joints—enabling automated recognition and location identification of weld seams. This work, published in 2018, has garnered 84 citations, reflecting its practical significance in robotic welding automation. She further advanced this line of research by detecting tooth-saw butt joint shapes and localizing their positions for KUKA welding robots. Beyond industrial robotics, Kamis has explored humanoid robot control using digital potentiometer-based joystick interfaces, and developed vision-based mobile robot platforms capable of sign detection for autonomous navigation. Her work on voice recognition robotic cars demonstrates her interest in multimodal human-robot interaction. She has also investigated energy optimization in arm robots, focusing on minimizing power consumption through hardware selection and Denavit-Hartenberg parameterization. Kamis’s research portfolio—spanning welding automation, humanoid control, mobile robotics, and energy efficiency—showcases her commitment to making robots more perceptive, controllable, and sustainable across diverse application domains.

Research Focus

Key Achievements

5
H-Index
7
Papers
121
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Butt welding joints recognition and location identification by using local thresholding
84 citations · 2018
📈 Most Prolific Year: 2018 (4 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Technical University of Malaysia Malacca

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago