Muhammad Herman Jamaluddin
Papers
7
Total Citations
48
H-Index
4
About
Muhammad Herman Jamaluddin is a robotics researcher whose work bridges vision systems, human-robot collaboration, and industrial automation. His primary research areas include computer vision for robotic guidance, collision avoidance systems, and teleoperation control. Jamaluddin’s most influential work, a review on vision-based weld seam detection and tracking for welding robots (24 citations), established foundational methods for automating precision welding tasks. He has also developed color-based vision systems for object-tracking robots in library environments and pre-contact sensor strategies to prevent human-robot collisions, addressing critical safety challenges in Industry 4.0 settings. His research on optimizing dynamic performance in vision-guided manipulators and bilateral master-slave control for industrial robotic arms demonstrates a sustained focus on improving robot accuracy, speed, and human-machine interaction. Notable achievements include designing GUI-based controllers for mini-aerial helicopters and workspace control systems for planar robots. With a career spanning over a decade, Jamaluddin’s contributions—though modest in citation volume—directly advance practical robotics applications in manufacturing, service, and hazardous environments, making his work valuable for researchers developing safer, more intuitive robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Pre-Contact Sensor Based Collision Avoidance Manipulator5 citations · 2017
- 4Vision Guided Manipulator for Optimal Dynamic Performance4 citations · 2006
- 5WORKSPACE CONTROL OF TWO LINK PLANAR ROBOT USING MICRO-BOX 20003 citations · 2015
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