Shaohui Su
Papers
2
Total Citations
12
H-Index
2
About
Shaohui Su’s research lies at the intersection of robotics, mechatronic system design, and precision calibration. His most cited work tackles a fundamental challenge in eye-to-hand robotic systems: the variable-height hand–eye calibration problem. By developing a method based on rigid transformation, Su addressed the “large up close, small from afar” imaging distortion that limits a manipulator’s ability to grasp objects at different heights. This contribution, published in 2022 and garnering 8 citations, directly improves the adaptability and accuracy of industrial robotic arms in real-world, variable-height environments. In parallel, Su has advanced model-based systems engineering for mechatronics. His work on integrating system and simulation models using SysML (4 citations) enables clearer, more verifiable descriptions of complex mechatronic architectures—bridging the gap between system modeling and simulation tools for early-stage validation. While still early in his career, Su’s focused contributions to calibration accuracy and model integration are foundational to more flexible, intelligent robotic systems. His research speaks directly to engineers seeking practical solutions for vision-guided manipulation and system-level design verification.
Research Focus
Key Achievements
Top Papers
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- 2