Papers
7
Total Citations
141
H-Index
5
About
Rebecca Cheung is a leading innovator at the intersection of soft robotics, tactile sensing, and surgical technology. Her primary research focuses on developing high-performance, multi-axis tactile sensors for robotic surgical systems, where she has made transformative contributions. Cheung’s work is distinguished by its ability to decouple complex force signals—normal, shear, and angular—using novel materials and designs, such as magnetorheological elastomers and fringing electric fields. Her 2022 paper on a soft multi-axis magnetic tactile sensor (49 citations) and her 2023 work on a capacitive tactile sensor (30 citations) have set benchmarks for force feedback in minimally invasive surgery, enabling safer and more intuitive robot-assisted procedures. She has also explored bio-inspired systems, including wind sensors for insect-like robots and neural network-based texture discrimination using capacitive-piezoelectric sensors (2025). With over 140 cumulative citations, Cheung’s research is widely recognized for its practical impact, bridging MEMS technology and clinical applications. Her achievements include pioneering high-range inductive sensors and advancing silicon carbide microscale sensors for harsh environments, solidifying her reputation as a key figure in tactile sensing and surgical robotics.
Research Focus
Key Achievements
Top Papers
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- 6Microscale sensors based on silicon carbide and silicon5 citations · 2008
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