Mohd Zaid Abdullah
Papers
8
Total Citations
183
H-Index
5
About
Mohd Zaid Abdullah is a leading researcher at the intersection of robotics, computer vision, and intelligent sensing, with a career spanning agricultural technology, autonomous navigation, and medical robotics. His early work pioneered the use of impedance spectroscopy for nondestructive fruit quality assessment (63 citations), enabling robotic arms to determine optimal harvest times—a foundational contribution to precision agriculture. More recently, Abdullah has made significant advances in SLAM (Simultaneous Localization and Mapping) for dynamic environments, with his MVS-SLAM (55 citations) and FADM-SLAM (30 citations) systems achieving fast, accurate localization even when objects are moving. These innovations are critical for autonomous robots operating in real-world, unpredictable settings. He has also contributed a comprehensive review on high-performance accelerators for deep neural networks (21 citations), reflecting his expertise in hardware-software co-design. Beyond agriculture and navigation, Abdullah has explored robotic neurosurgery, developing a vision-guided robotic arm for bone drilling and endoscopic procedures, as well as a brain-controlled interface for stroke rehabilitation. His work demonstrates a rare ability to translate core robotics research into impactful applications across food processing, autonomous exploration, and healthcare.
Research Focus
Key Achievements
Top Papers
- 1Assessment of quality of fruits using impedance spectroscopy63 citations · 2011
- 2
- 3
- 4High performance accelerators for deep neural networks: A review21 citations · 2021
- 5Food handling and packaging using computer vision and robot5 citations · 2004
- 6Food handling and packaging using computer vision and robot4 citations · 2004
- 7
- 8