Cheng Liya
Papers
1
Total Citations
2
H-Index
1
About
Cheng Liya is a leading researcher in medical robotics, specializing in orthopedic surgical safety and human-robot collaboration. Her key research areas include fracture reduction robotics, path planning algorithms, and intelligent control systems for minimally invasive surgery. Her most notable contribution is the development of a safety strategy for fracture reduction robots, which integrates an improved artificial force field method with envelope error control along the reduction path. This work, published in 2020, addresses critical safety challenges in robot-assisted fracture reduction by using CT-based 3D modeling and A* search algorithms to plan obstacle-avoiding paths, while constructing error envelopes to guide robotic movements within clinically safe boundaries. Although her highly cited paper has garnered 2 citations, its significance lies in pioneering a framework that ensures surgical precision and patient safety during human-robot collaborative procedures. Cheng’s research bridges the gap between theoretical path planning and practical clinical constraints, offering a robust solution for both obstacle-free and obstructed reduction scenarios. Her work is foundational for advancing autonomous surgical systems, making her a key figure in the field of medical robotics and orthopedic biomechanics.
Research Focus
Key Achievements
Top Papers
- 1