About

Yunhui Liu is a distinguished robotics researcher whose work spans robot control, visual servoing, multi-robot systems, and medical robotics. Over more than two decades, his contributions have fundamentally advanced how robots perceive, move, and interact with their environments. Liu's early and highly influential work on dynamic sliding PID control for robot manipulators (323 citations) established robust theoretical and experimental frameworks for tracking control, while his formalization of 3D frictional form-closure grasps using linear programming (256 citations) provided essential tools for dexterous robotic manipulation. His uncalibrated visual servoing approach using a depth-independent interaction matrix (310 citations) elegantly solved the challenge of camera-based robot control without precise calibration, representing a significant practical breakthrough. Liu has also made major strides in multi-robot coordination, developing formation control strategies for nonholonomic mobile robots that operate without direct position or velocity measurements, and bearing-only target enclosure algorithms (292 citations). His pioneering work on soft object manipulation — including Fourier-based shape servoing (140 citations) and adaptive deformation models (184 citations) — opened new frontiers in compliant robotics. More recently, his MRI-guided soft robotic surgical system (144 citations) exemplifies his commitment to translating fundamental research into life-improving medical applications.

Research Focus

Key Achievements

45
H-Index
337
Papers
8,330
Total Citations
25
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic sliding PID control for tracking of robot manipulators: theory and experiments
323 citations · 2003
📈 Most Prolific Year: 2021 (32 Papers)
🤝 Key Collaborators: 523
🏛 Institutions: Chinese University of Hong Kong, The University of Tokyo, National University of Defense Technology, City University of Hong Kong, Harbin Institute of Technology, Beijing Institute of Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 0 days ago