Mohd Nasir Ayob
Papers
5
Total Citations
44
H-Index
4
About
Mohd Nasir Ayob’s research lies at the intersection of robotics, computer vision, and intelligent sensing systems. His work addresses fundamental challenges in multi-robot coordination, autonomous navigation, and human-robot interaction. Notably, his most cited paper, “Development of a webcam based lux meter” (2013, 24 citations), introduced a low-cost, accessible method for measuring illumination using standard webcams—a contribution with broad applications in occupational safety, agriculture, and robotics. Ayob has also made significant strides in multi-robot systems, exploring Bluetooth-based communication and 2D barcode labeling to improve task allocation and coordination among homogeneous robots. His experimental studies on differential steering control for mobile robots provide foundational insights into trajectory tracking and error reduction. More recently, his work on integrating vision systems with pick-and-place Cartesian robots (2021) demonstrates a practical application of machine vision for automated object sorting. With a career spanning over a decade, Ayob’s contributions have earned him a growing citation record, reflecting the practical impact of his research on affordable sensing technologies and collaborative robotics. His work continues to inspire students and researchers seeking cost-effective, scalable solutions in automation and intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1Development of a webcam based lux meter24 citations · 2013
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- 4Investigation of homogeneous multi robots communication via Bluetooth5 citations · 2012
- 5Integrating Vision System to a Pick and Place Cartesian Robot3 citations · 2021