Xiaofeng Meng

Beihang University

Papers

1

Total Citations

2

H-Index

1

About

Xiaofeng Meng is a researcher working at the intersection of robotics, control systems, and medical engineering, with a particular focus on advancing surgical robotics for complex cardiac procedures. Meng's most notable contribution lies in the development of a multivariate vector autoregressive prognosis-based model following control method designed specifically for robot-assisted beating heart surgery. This innovative work addresses one of the most technically demanding challenges in cardiac surgery: enabling surgeons to operate on a beating heart during off-pump coronary artery bypass graft procedures without requiring cardiac arrest. By designing a robotic tool capable of actively canceling the relative motion between the point of intersection on the heart's surface and the surgical instrument, Meng's research effectively creates a stabilized operative environment, dramatically reducing surgical risk and physiological trauma to the patient. Though still accumulating citations with 2 to date, this work represents a meaningful step forward in the convergence of advanced control theory and life-saving medical technology. Meng's contributions speak to a broader vision of making minimally invasive, high-precision cardiac surgery more accessible and safer for patients worldwide.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Multivariate vector autoregressive prognosis-based model following control method for robot-assisted beating heart surgery
2 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Beihang University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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