Papers
14
Total Citations
448
H-Index
8
About
Shuofei Yang is a leading figure in robotic mechanism theory, whose work has fundamentally advanced the modeling, calibration, and control of both serial and parallel robots. His primary research areas include kinematic and dynamic modeling, screw theory, and performance-integrated design. Yang’s most significant contribution is the development of a unified framework based on finite and instantaneous screw theory, which provides an intuitive and generic solution to the long-standing challenge of error propagation and identification in robot calibration. This work, detailed in his highly cited 2020 paper (149 citations), has dramatically improved calibration efficiency and accuracy. He further extended this theoretical foundation to formulate the Hessian matrix for dynamic control (52 citations), enabling more precise motion control of parallel robots. With over 440 total citations, Yang’s influence is evident in his systematic approach to connecting topology and performance, as seen in his comprehensive survey on the topic. His innovative work on deployable parallel mechanisms and constraint singularity classification also showcases his ability to tackle complex, real-world mechanical design problems, making him a pivotal researcher in modern robotics.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Finite and Instantaneous Screw Theory in Robotic Mechanism66 citations · 2020
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- 8Kinematic analysis of deployable parallel mechanisms9 citations · 2019
- 9
- 10Motion generators of quadric surfaces5 citations · 2019