Ruirui Huang
Papers
2
Total Citations
22
H-Index
2
About
Ruirui Huang is a researcher at the forefront of intelligent robotics and medical automation, with a primary focus on robust control systems and autonomous surgical assistance. Her most influential work introduces a neural network compensator-based robust iterative learning control scheme, designed to handle disturbances and uncertain parameters in mobile robot nonlinear systems—a paper that has already garnered 20 citations since its 2024 publication. This contribution is critical for enhancing the reliability and adaptability of robots operating in unpredictable environments. In parallel, Huang is advancing precision medicine through her study on autonomous marker localization for lumbar epidural steroid injection robots. By comparing traditional Welzl’s algorithm with the state-of-the-art nnU-Net across MRI and CT modalities, her work directly addresses the challenge of accurate fiducial frame detection, paving the way for safer, more effective minimally invasive procedures. Huang’s research uniquely bridges theoretical control engineering with practical clinical robotics, demonstrating high-impact potential in both fields. Her achievements mark her as a rising innovator in autonomous systems and image-guided intervention.
Research Focus
Key Achievements
Top Papers
- 1
- 2