Jinqiu Mo
Papers
6
Total Citations
105
H-Index
5
About
Dr. Jinqiu Mo is a leading researcher in medical robotics and computer vision, with a focus on high-precision surgical automation and 3D reconstruction. Her most impactful work centers on developing hybrid robotic systems for dental implant surgery, where her 2021 paper on an image-guided hybrid robot has garnered 61 citations, establishing a foundation for safer, more accurate procedures. Mo’s contributions extend to solving the challenge of reconstructing non-textured surfaces, as demonstrated in her 2021 paper combining shape from shading and stereovision (21 citations), and her 2022 work on shape-based image augmentation (6 citations). She also pioneered live-line inspection robotics for high-voltage substations, with a 2010 paper on a novel robot system for 220-kV post insulators (9 citations), addressing critical safety and efficiency needs in power infrastructure. Her research on reconfigurable robots, including task-oriented configuration optimization (6 citations), showcases her versatility in adaptive robotics. Mo’s work has practical impact in medicine and industry, bridging vision, robotics, and automation. Her self-evolution hybrid robot for dental surgery (2021) further highlights her commitment to advancing autonomous surgical systems, making her a key figure in the intersection of robotics and healthcare.
Research Focus
Key Achievements
Top Papers
- 1An image-guided hybrid robot system for dental implant surgery61 citations · 2021
- 2
- 3
- 4Texture-less surface reconstruction using shape-based image augmentation6 citations · 2022
- 5
- 6A Self-evolution Hybrid Robot for Dental Implant Surgery2 citations · 2021