Sheng Yao

Southern Medical University, South China University of Technology

Papers

Total Citations

H-Index

About

Sheng Yao is a researcher specializing in precision motion measurement, visual sensing systems, and robotic manipulation at the micro and nanoscale. His work sits at the critical intersection of computer vision, robotics, and nanopositioning technology — fields increasingly vital to advancing automation in scientific instrumentation, semiconductor manufacturing, and micro-assembly. Yao's most recognized contribution is his development of a microvision-based motion measurement system employing a novel feature-to-phase method, enabling accurate motion sensing for three-degree-of-freedom nanopositioners — a work that has already garnered 11 citations since its 2023 publication, reflecting strong community interest. His earlier research addressed a longstanding challenge in visual motion measurement systems: improving absolute measurement accuracy without sacrificing the inherent high repeatability these systems offer. By applying Gaussian process methods to calibration, he demonstrated a meaningful pathway toward more reliable pose estimation for planar robots, earning 7 citations since 2019. His most recent work extends this vision further, introducing marker-assisted cross-scale measurement techniques for robotic macro–micro manipulation. Taken together, Yao's research represents a coherent and growing effort to bridge the gap between macroscale robotic control and nanoscale precision — contributions of direct relevance to researchers working in advanced manufacturing, MEMS, and precision engineering.