Chia-Ming Liu
Papers
5
Total Citations
206
H-Index
4
About
Chia-Ming Liu is a leading researcher in intelligent control systems and mobile robotics, whose work centers on the fusion of neural networks, fuzzy logic, and Petri net theory for advanced robotic navigation. His most significant contribution is the development of the Dynamic Petri Recurrent Fuzzy Neural Network (DPRFNN), a novel architecture that integrates the discrete-event modeling power of Petri nets with the learning capabilities of recurrent fuzzy neural networks. This innovation directly addresses the complex challenges of path-tracking and obstacle avoidance for nonholonomic mobile robots. Liu’s seminal 2009 paper on the DPRFNN design and its application to path-tracking control has garnered 159 citations, establishing it as a foundational reference in the field. This work, along with subsequent studies on robust control and experimental verification—totaling over 200 citations—demonstrates the practical impact of his research. By enabling more adaptive and reliable autonomous navigation, Liu’s contributions have advanced the state of the art in intelligent robotics, offering a powerful framework for researchers and engineers developing next-generation mobile systems.
Research Focus
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Top Papers
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