Yourui Tao
Papers
14
Total Citations
254
H-Index
7
About
Yourui Tao’s research bridges the gap between robotic mobility and industrial precision, with a focus on wall-climbing robots, industrial robot reliability, and underwater vision enhancement. His most influential work, a 2021 study on a magnetic crawler wall-climbing robot capable of high payloads on convex surfaces, has garnered 97 citations, showcasing its impact on practical robotic design. Tao has pioneered methods for reliability analysis, including polynomial chaos expansion for dimension-reduction models (43 citations) and statistical moment similarity metrics for positional error assessment (21 citations). His multi-objective optimization of magnetic adsorption units (25 citations) further advances climbing robot performance. Beyond mobility, Tao addresses degradation in industrial robots, such as the effect of cycloid gear wear on RV reducer transmission accuracy (12 citations), and develops fault diagnosis techniques for harmonic drives under time-varying speeds. His semi-supervised approach to underwater visual quality (14 citations) extends his work to autonomous underwater navigation. With recent contributions to multi-fidelity reliability integration and dynamic parameter identification for 6-DoF robots, Tao’s research continues to shape safer, more accurate, and more adaptable robotic systems for challenging environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Semi-supervised advancement of underwater visual quality14 citations · 2020
- 7
- 8
- 9
- 10Dynamic Parameters Identification for 6-DoF Industrial Robots3 citations · 2024