About

Feng-Li Lian is a distinguished robotics and control systems researcher whose work spans several decades and touches on some of the most challenging problems in modern automation. Based at the intersection of mechanical engineering and intelligent systems, Lian has made foundational contributions to flexible-link manipulator control, mobile robotics, and assistive healthcare technology. His earliest and most influential work addressed the notoriously difficult problem of controlling flexible-link robotic manipulators, where the system's mechanical degrees of freedom exceed its controllable inputs. His 1997 paper on nonlinear adaptive control for such systems remains his most cited contribution, accumulating over 100 citations and establishing key theoretical frameworks still referenced today. This built upon earlier adaptive and hybrid position/force control strategies developed in the mid-1990s. Lian subsequently broadened his scope to encompass mobile robot navigation, visual servo control for object tracking, and multi-robot cooperative task planning. His work on indoor environment characterization and coverage path planning demonstrates a sustained commitment to practical autonomous systems. Notably, his 2009 mechatronic design of a robotic bed system for bedridden patients illustrates a humanistic dimension to his engineering—applying sophisticated robotics to improving patient care. Across these diverse domains, Lian's cumulative body of work reflects a career dedicated to bridging rigorous control theory with real-world robotic applications.

Research Focus

Key Achievements

10
H-Index
35
Papers
421
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Nonlinear adaptive control for flexible-link manipulators
102 citations · 1997
📈 Most Prolific Year: 2009 (5 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: National Taiwan University, National Taiwan University of Science and Technology, Industrial Technology Research Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago