Papers

11

Total Citations

71

H-Index

5

About

Sukarnur Che Abdullah is a robotics and intelligent systems researcher whose work spans tactile sensing, robotic manipulation, rehabilitation engineering, and computer vision. He is perhaps best known for his pioneering contributions to optical three-axis tactile sensor technology, developing novel sensing devices based on optical waveguide transduction combined with image processing to enable robots to perceive and respond to complex contact forces — work that has garnered consistent citation since its introduction around 2010. His research into two-hand-arm manipulation systems and object exploration algorithms has pushed the boundaries of dexterous robotic interaction, allowing machines to extract meaningful geometrical data from physical contact alone. Beyond manipulation, Abdullah has made meaningful contributions to assistive and rehabilitation robotics, notably developing an arm exoskeleton system employing learning algorithm prediction to support stroke survivors in motor function recovery — addressing one of the world's leading causes of disability. His more recent work on shadow robot arm integration with flex sensor mechanisms and stereo vision-based object tracking demonstrates a sustained commitment to advancing practical robotic systems. With a citation portfolio reflecting over 60 cumulative references across foundational and applied research, Abdullah represents a steady, multidisciplinary voice in the evolution of human-robot interaction and intelligent sensing systems.

Research Focus

Key Achievements

5
H-Index
11
Papers
71
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Two-Hand-Arm Manipulation Based on Tri-axial Tactile Data
13 citations · 2011
📈 Most Prolific Year: 2011 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Nagoya University, Universiti Teknologi MARA, Universiti Teknologi MARA System, Faculty (United Kingdom)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago