Papers
46
Total Citations
1,037
H-Index
14
About
Wei Tech Ang is a pioneering researcher at the intersection of surgical robotics, human motor physiology, and rehabilitation engineering. His most celebrated contributions center on the development of intelligent handheld microsurgical instruments capable of actively canceling physiological tremor — the involuntary hand movements that compromise precision in delicate procedures. Rather than relying on cumbersome robotic arms, Ang championed a transparent, surgeon-friendly approach where the instrument itself senses and compensates for tremor in real time, a concept introduced in his landmark 2003 paper that has since garnered over 240 citations. Building on this foundation, Ang produced a substantial body of work refining tremor estimation and filtering algorithms — spanning adaptive Fourier linear combiners, autoregressive-Kalman models, and machine learning-based multistep prediction — collectively accumulating hundreds of citations and establishing him as a leading authority in real-time biosignal processing for robotics. His research spans both hardware and algorithmic innovation, addressing phase delay challenges inherent in sensor-filter pipelines. In more recent years, Ang has extended his expertise toward rehabilitation robotics, including fall-prevention assistive robots and decentralized neurorehabilitation technologies, reflecting a broader commitment to improving patient quality of life beyond the operating theatre. His interdisciplinary impact makes him a compelling figure for researchers in medical robotics, biomedical engineering, and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1Toward active tremor canceling in handheld microsurgical instruments242 citations · 2003
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