Youqiang Zhang
Papers
4
Total Citations
47
H-Index
4
About
Youqiang Zhang is a leading researcher in the field of surgical robotics, with a primary focus on developing intelligent, intuitive systems for minimally invasive surgery. His work centers on three key areas: soft tissue surgical robots, human-robot interaction through direct teaching, and AI-driven instrument tracking. Zhang’s major contributions include comprehensive surveys of soft tissue surgical robots that analyze the key technologies driving their success, providing a critical roadmap for the field. He has pioneered control strategies for surgical assistant robots, notably developing force-free control algorithms and non-mechanical remote center motion techniques that allow surgeons to intuitively manipulate robotic end effectors without cumbersome joysticks. His most cited work, a 2023 review on soft tissue surgical robots (28 citations), has become a foundational reference. Zhang is also advancing real-time surgical instrument detection and tracking using YOLOv5 and DeepSORT, creating an AI interface that responds to instrument movement on laparoscopic screens. His innovative wire-driven bidirectional telescopic mechanism for end effectors demonstrates his commitment to practical, ergonomic surgical tools. With a growing citation impact, Zhang is shaping the future of safer, more accessible robotic surgery.
Research Focus
Key Achievements
Top Papers
- 1Soft tissue surgical robot for minimally invasive surgery: a review28 citations · 2023
- 2
- 3
- 4