Papers
6
Total Citations
142
H-Index
5
About
Cheng-Yi Yu is a researcher whose work spans two dynamic and complementary domains: advanced robotic metrology and intelligent control systems for autonomous robots. In the realm of precision measurement, Yu has made significant contributions to large-scale 3D scanning and robotic inspection, most notably developing a novel robot-integrated fringe projection scanning system that addresses critical quality control challenges in advanced manufacturing. His work on simultaneous online calibration and optimal measurement configurations for robotic visual inspection systems has further strengthened the foundation of flexible, high-accuracy metrology — earning his top two papers a combined 96 citations. Alongside this, Yu has pursued sophisticated approaches to autonomous robot navigation, proposing knowledge-based neural fuzzy controllers and interval type-2 fuzzy neural network architectures optimized through evolutionary computation techniques such as differential evolution and particle swarm optimization. These systems demonstrate superior noise suppression and adaptive decision-making in unknown environments. With over 140 cumulative citations across his published work, Yu's research bridges the gap between intelligent sensing and autonomous control, making meaningful contributions to robotics applications in both industrial inspection and self-navigating mobile systems.
Research Focus
Key Achievements
Top Papers
- 1Simultaneous and on-line calibration of a robot-based inspecting system50 citations · 2017
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