Papers
3
Total Citations
27
H-Index
3
About
Zhuoxin Fu is a pioneering researcher in the field of orthopedic robotics, with a primary focus on fracture reduction technology. His work addresses critical challenges in traditional fracture surgery, including the physical strain on surgeons and the radiation hazards from repeated X-ray monitoring. Fu’s major contribution is the development of an indirect visual guided fracture reduction robot that uses external markers, eliminating the need for continuous radiography while maintaining high reduction accuracy. This innovation has been cited 12 times, reflecting its significance in advancing safer, more precise surgical methods. Additionally, Fu has created a Hill-based musculoskeletal model specifically for fracture reduction robots, cited 11 times, which simulates muscle forces to improve robotic control and reduce the risk of tissue damage during procedures. His research bridges biomechanics and robotics, offering a pathway to safer, more efficient orthopedic surgeries. By integrating external marker tracking with musculoskeletal modeling, Fu has laid the groundwork for robots that can autonomously perform complex reductions, reducing surgeon fatigue and patient radiation exposure. His work is essential reading for students and researchers interested in medical robotics, surgical automation, and the future of trauma care.
Research Focus
Key Achievements
Top Papers
- 1Indirect visual guided fracture reduction robot based on external markers12 citations · 2020
- 2Hill‐based musculoskeletal model for a fracture reduction robot11 citations · 2021
- 3