Papers
8
Total Citations
124
H-Index
5
About
Rong-Fong Fung is a leading researcher in the control and optimization of electromechanical systems, with a primary focus on the dynamics, identification, and energy-efficient trajectory planning of LCD glass-handling robots. His work bridges advanced control theory with practical industrial robotics, particularly for systems driven by permanent magnet synchronous motors (PMSMs). Fung’s major contributions include pioneering adaptive boundary control for axially moving string systems—a foundational paper with 40 citations—and developing novel minimum-energy trajectory planning methods that significantly reduce input energy for precision robotic tasks. His research on system identification and adaptive tracking control for 3-DOF LCD glass-handling robots has provided critical mathematical models that integrate electrical and mechanical dynamics, enabling more efficient and accurate motion control. With a cumulative impact spanning over 120 citations, Fung’s work is notable for its practical relevance to manufacturing automation, particularly in the display industry. His comparative studies on fitness functions for system identification and energy-saving control strategies further underscore his commitment to optimizing both performance and sustainability in robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Adaptive Boundary Control of an Axially Moving String System40 citations · 2002
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- 4Minimum-Energy Trajectory Planning for an LCD Glass-Handling Robot9 citations · 2011
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