About

Rui Cui is a researcher at the forefront of orthopaedic robotics, specializing in the integration of musculoskeletal biomechanics with robotic systems for fracture reduction and deformity correction. Their major contributions lie in developing novel trajectory planning methods that account for the complex interplay between bones and muscles—a critical factor often overlooked in prior robotic surgery research. Cui’s work on hill-based musculoskeletal models for fracture reduction robots (2021, 11 citations) directly addresses the challenge of large reduction forces and the need for multiple medical images, enhancing both safety and precision. Their subsequent study on trajectory optimisation with musculoskeletal integration features (2022, 7 citations) further advances this field by incorporating muscle effects into the planning of Stewart-Gough platform-based orthopaedic robots. Additionally, Cui’s comprehensive review of trajectory planning for fracture reduction and deformity correction robots (2022, 5 citations) synthesizes key technologies and future directions, serving as an essential resource for researchers. With a total of 23 citations across these works, Cui’s research is steadily gaining recognition for its practical impact on improving surgical outcomes and robot usability.

Research Focus

Key Achievements

3
H-Index
3
Papers
23
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Hill‐based musculoskeletal model for a fracture reduction robot
11 citations · 2021
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Tianjin University of Technology, Hebei University of Technology, Beijing University of Posts and Telecommunications

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago