Tingting Su
Papers
1
Total Citations
6
H-Index
1
About
Tingting Su is a researcher specializing in medical robotics, surgical automation, and intelligent trajectory planning, with a particular focus on applying advanced computational methods to orthopedic surgical procedures. Her most recognized work addresses one of the critical challenges in fracture surgery: the complexity and risk associated with tibial fracture reduction operations, where surgeon fatigue and inexperience can lead to iatrogenic injuries. In her notable 2026 paper, Su pioneered a trajectory planning methodology for parallel robots that combines Dynamic Movement Primitives (DMP) with Artificial Potential Fields (APF), offering a sophisticated framework for automating and optimizing fracture reduction procedures. This work, which has already garnered 6 citations shortly after publication, represents a meaningful step toward safer, more reliable robotic-assisted orthopedic surgery. By integrating biomechanically informed motion planning with adaptive robotic control, Su's research contributes to reducing human error in delicate surgical environments and improving patient outcomes. Her work sits at the intersection of robotics engineering and clinical medicine, making her a promising contributor to the growing field of surgical robotics and human-robot collaborative healthcare systems.
Research Focus
Key Achievements
Top Papers
- 1