Papers

9

Total Citations

1,550

H-Index

7

About

Alex Pui-Wai Lee is a leading roboticist whose work bridges motion planning, surgical robotics, and soft manipulation. His foundational contributions to trajectory optimization—particularly through sequential convex optimization—have reshaped how robots navigate cluttered environments. His 2014 paper on motion planning with convex collision checking has garnered over 840 citations, while his 2013 companion work, with 429 citations, introduced a hinge-loss penalty for collision avoidance that remains a standard in the field. In surgical robotics, Lee pioneered autonomous debridement using the Raven robot (121 citations) and developed the first MR-safe manipulator for MRI-guided intracardiac catheterization (84 citations), enabling high-resolution imaging during robotic procedures. His recent work on tensegrity-based soft joints—low-inertia, compliant mechanisms with controllable stiffness—promises safer human-robot collaboration in healthcare. With over 1,500 total citations, Lee’s research consistently addresses real-world challenges: from planning under uncertainty with sigma hulls to model-free control for catheterization. His career exemplifies how rigorous algorithmic foundations can drive practical advances in medical robotics and human-safe manipulation.

Research Focus

Key Achievements

7
H-Index
9
Papers
1,550
Total Citations
172
Avg Citations/Paper
🏆 Most Cited Paper
Motion planning with sequential convex optimization and convex collision checking
840 citations · 2014
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 45
🏛 Institutions: University of California, Berkeley, Chinese University of Hong Kong, Prince of Wales Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago