About

Xinwei Yuan is a pioneering researcher at the intersection of intelligent robotics and orthopedic surgery, whose work bridges the gap between autonomous navigation and precision medicine. His most influential contribution, the "Improved Bat Algorithm" for mobile robot path planning, has garnered 46 citations by addressing critical limitations in swarm intelligence—namely slow convergence and instability—through a novel logarithmic decreasing strategy and Cauchy disturbance. This innovation enables robots to achieve global optimal paths while dynamically avoiding obstacles, marking a significant advance in autonomous navigation. In the clinical realm, Yuan has pioneered the application of robotic assistance in orthopedic trauma surgery. His comparative studies on calcaneal fracture treatment demonstrate that robot-assisted percutaneous hollow screw placement, combined with tarsal sinus incision reduction, yields superior outcomes at minimum two-year follow-up compared to traditional open reduction. With 10 citations for this work and additional contributions to robot-assisted internal fixation, Yuan has established himself as a key figure in surgical robotics. His research uniquely synthesizes computational intelligence with clinical orthopedics, offering transformative solutions for both autonomous systems and patient care.

Research Focus

Key Achievements

3
H-Index
3
Papers
60
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Path Planning for Mobile Robot Based on Improved Bat Algorithm
46 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Harbin Engineering University, University of Electronic Science and Technology of China, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago