F. Clara Fang

Papers

Total Citations

H-Index

About

F. Clara Fang is a researcher whose work bridges the seemingly disparate worlds of bio-inspired robotics and intelligent transportation systems. Her key research areas include central pattern generators (CPGs), neuronal oscillator models, and their application to both humanoid robotics and traffic signal control. Fang’s major contribution lies in demonstrating the versatility of the Matsuoka oscillator—a model of biological rhythmicity—beyond its traditional use in robotics. In her most-cited work, "Generation of rhythmic and voluntary patterns of mastication using Matsuoka oscillator for a humanoid chewing robot" (2008, 15 citations), she pioneered the application of this oscillator to generate complex, coordinated chewing motions, advancing the field of bio-mimetic humanoid robots. She then extended this concept to traffic engineering in her 2013 paper (7 citations), proposing the Matsuoka oscillator for controlling traffic signals at isolated intersections. This innovative cross-domain application highlights her ability to translate biological principles into practical engineering solutions. Fang’s work is notable for its interdisciplinary creativity, showing how a model designed for rhythmic limb movement can optimize traffic flow, making her a unique voice in both robotics and transportation research.