Mingquan Guo
Papers
1
Total Citations
2
H-Index
1
About
Mingquan Guo is a researcher in the field of surgical robotics, with a primary focus on minimally invasive surgical systems. His key research areas include kinematics analysis, remote center of motion (RCM) algorithms, and human-robot interaction for medical applications. Guo’s most notable contribution is his work on a novel RCM algorithm based on 3D force dragging, which addresses critical challenges in enhancing the dexterity and workspace of surgical instruments during single-port procedures. This algorithm improves the flexibility and safety of robotic-assisted surgery by enabling more intuitive instrument control. Although his most-cited paper currently has 2 citations, it represents foundational work in a specialized niche with significant potential for growth as the field of minimally invasive surgery expands. Guo’s research is particularly relevant for advancing the precision and ergonomics of surgical robots, making him a promising contributor to the next generation of medical robotics. His work underscores the importance of integrating force feedback and kinematic optimization to improve clinical outcomes.
Research Focus
Key Achievements
Top Papers
- 1