Papers

6

Total Citations

68

H-Index

4

About

Leng-Feng Lee is a robotics researcher whose work spans cable-driven parallel manipulators, distributed motion planning, and bio-inspired engineering. His primary contributions lie in the control of cable-actuated robots, where he addresses the fundamental challenge of unilateral cable forces—cables can only pull, not push. In his most cited work, "Simultaneous Trajectory Tracking and Stiffness Control of Cable Actuated Parallel Manipulator" (23 citations), Lee developed methods to simultaneously control a robot's trajectory and stiffness, enabling precise manipulation despite cable constraints. He extended this in "Enhanced trajectory tracking control with active lower bounded stiffness control for cable robot" (20 citations), improving tracking performance by actively managing lower stiffness bounds. Lee also explored distributed motion planning for robot collectives, comparing potential field formulations in a 2006 paper (11 citations), and contributed to teleoperation control for wheeled mobile robots (8 citations). His work on automated symbolic generation of equations of motion (4 citations) and bio-inspired robotics (2 citations) demonstrates a commitment to both foundational theory and interdisciplinary application. Lee's research is particularly valuable for students and engineers working on cable robots, cooperative multi-robot systems, and control under unilateral constraints.

Research Focus

Key Achievements

4
H-Index
6
Papers
68
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Simultaneous Trajectory Tracking and Stiffness Control of Cable Actuated Parallel Manipulator
23 citations · 2009
📈 Most Prolific Year: 2009 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University at Buffalo, State University of New York, New York University, Buffalo State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago