Papers

1

Total Citations

2

H-Index

1

About

Ming Liang is an emerging researcher whose work sits at the intersection of surgical robotics, optical sensing, and biomedical instrumentation. His research focuses on developing advanced force-sensing technologies that enable surgical robots to operate with greater precision and safety — a critical challenge in minimally invasive and robotic-assisted surgery. His most notable contribution to date is the design of a hollow fiber Bragg grating (FBG)-based three-axis force sensor, engineered to accurately detect interaction forces between surgical instruments and delicate tissue. This innovation addresses one of the fundamental limitations in robotic surgery: the lack of tactile feedback that surgeons rely upon in traditional procedures. By leveraging FBG optical sensing technology — known for its immunity to electromagnetic interference and miniaturization potential — Liang's sensor design represents a meaningful step toward safer, more responsive surgical robotic systems. Though early in his citation trajectory with 2 citations recorded in 2024, his work tackles a high-impact problem with broad clinical implications. As robotic surgery continues to expand globally, contributions like Liang's foundational sensing architecture are poised to gain significant recognition within the surgical robotics and medical devices communities.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Hollow FBG-Based 3-Axis Force Sensor for Surgical Robots
2 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Chinese General Hospital College of Nursing and Liberal Arts

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago