Muhamad Safwan Muhamad Azmi
Universiti Malaysia Perlis, Intel (Malaysia), University of Yamanashi
Papers
5
Total Citations
37
H-Index
3
About
Muhamad Safwan Muhamad Azmi is a researcher at the forefront of robotics, computer vision, and intelligent sensing systems. His work bridges the gap between low-cost hardware and sophisticated automation, with a primary focus on developing accessible solutions for illumination measurement, multi-robot communication, and autonomous navigation. His most influential work, "Development of a webcam based lux meter" (2013, 24 citations), introduced a novel, cost-effective method for measuring light intensity using readily available webcams, addressing critical needs in fields from scenic design to occupational health. Azmi has further advanced the field of homogeneous multi-robot systems, investigating Bluetooth-based communication protocols for coordinated task assignment. His recent contributions include integrating vision systems with pick-and-place Cartesian robots for automated object sorting, and designing service robots for efficient Wi-Fi RSSI fingerprint data collection—a crucial step toward practical indoor positioning. Notably, his 2024 work on device diversity in crowdsourced WiFi fingerprinting for autonomous mobile robots tackles the challenge of sensor cost, aiming to democratize mass production. With a growing citation record, Azmi’s research consistently emphasizes practical, scalable robotics solutions that leverage everyday technology.
Research Focus
Key Achievements
Top Papers
- 1Development of a webcam based lux meter24 citations · 2013
- 2Investigation of homogeneous multi robots communication via Bluetooth5 citations · 2012
- 3Integrating Vision System to a Pick and Place Cartesian Robot3 citations · 2021
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