Papers
4
Total Citations
29
H-Index
2
About
Yimiao Chen is a rising researcher at the intersection of robotics, computer-aided surgery, and intelligent control, with a primary focus on advancing orthopaedic and minimally invasive surgical procedures. Their most impactful work, “Computer-aided robotics for applications in fracture reduction surgery: Advances, challenges, and opportunities” (2024, 21 citations), provides a comprehensive roadmap for integrating AI-driven robotic systems into traditional fracture repair, addressing critical gaps in precision and safety. Chen has further pioneered tremor suppression in minimally invasive surgical robots using a particle swarm optimization-based unscented Kalman filter (2025, 4 citations), and developed a hybrid vibration suppression method combining PID control with input shaping (2025, 2 citations)—innovations that enhance robotic stability during delicate operations. Notably, their dual-mode robot-assisted plate implantation method for femoral shaft fractures (2024, 2 citations) directly tackles the invisibility and inaccuracy challenges in minimally invasive internal fixation. Through these contributions, Chen is shaping the next generation of computer-aided surgical tools, demonstrating how intelligent robotics can augment human expertise to improve patient outcomes.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4