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About

Sze Kwan Cheah is a robotics researcher whose work centers on the control, calibration, and optimization of cable-driven parallel robots (CDPRs) — a class of highly flexible robotic systems with broad applications in precision manufacturing, rehabilitation, and large-scale manipulation. His research makes significant contributions to the theoretical and practical advancement of CDPR technology, particularly in the areas of passivity-based control and autonomous self-calibration. Cheah's most recognized work develops adaptive, passivity-based controllers capable of robust pose tracking and regulation across six degrees of freedom, addressing the complex challenges of overconstrained CDPR configurations and multiple attitude parameterizations. His 2023 paper on adaptive passivity-based pose tracking has already garnered 11 citations, reflecting strong community interest in principled control design for these systems. Complementing this, his pioneering work on online self-calibration introduces novel data quality metrics — including position dilution of precision — enabling CDPRs to autonomously correct measurement biases during operation, a meaningful step toward autonomous robotic deployment. With a growing body of work spanning control theory and system identification, Cheah's research is shaping the next generation of intelligent, self-correcting cable-driven robotic systems, making him an emerging voice in the field of advanced robotics.