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About

Cheng Yap Shee is a researcher whose work sits at the intersection of rehabilitation robotics, biomechanics, and micro-manipulation. His primary research areas include robotic-assisted balance and gait rehabilitation, non-contact force sensing for biological cell manipulation, and the compensation of physiological tremor for micro-surgery. Shee’s major contributions are exemplified by his development of the Mobile Robotic Assistive Balance Trainer (MRABT), an intelligent, compliant robotic assistant designed to help patients safely practice standing and mobile balance tasks—a critical need for restoring independence in daily living. His work on a vision-based, non-contact force sensing technique for real-time stressing of biological cells (5 citations) has advanced the study of cellular viscoelastic properties. Additionally, his research on adaptive filtering of physiological tremor (4 citations) provides a foundation for improving precision in robot-assisted micro-surgery. While his most-cited paper (11 citations) highlights the clinical potential of his balance trainer, his broader portfolio demonstrates a unique ability to apply robotic principles across vastly different scales—from whole-body rehabilitation to single-cell manipulation—showcasing a versatile and impactful engineering career.