Chi-Ngon Nguyen
Papers
9
Total Citations
91
H-Index
5
About
Dr. Chi-Ngon Nguyen is a leading researcher in intelligent robotics control and sensor systems, with a particular focus on advanced control strategies for specialized robotic platforms and rehabilitation technologies. His work centers on developing sophisticated neural network-based controllers, including recurrent fuzzy neural networks and radial basis function neural networks optimized through particle swarm optimization, to enhance the performance of delta robots and omnidirectional mobile robots. Dr. Nguyen’s most cited paper, “Delta Robot Control Using Single Neuron PID Algorithms Based on Recurrent Fuzzy Neural Network Identifiers” (2020, 21 citations), demonstrates his expertise in merging adaptive control theory with neural architectures. He has also made significant contributions to sensor technology, notably developing a novel 2-D fiber Bragg grating acceleration sensor based on circular flexure hinges (2023, 13 citations), which offers high sensitivity for low- and medium-frequency vibration measurement. Beyond technical control systems, Dr. Nguyen addresses critical human factors in robotics, investigating therapist acceptance of robot-assisted rehabilitation in Vietnam (2024, 5 citations) and the ethical acceptability of robot-assisted therapy for children with autism in developing countries (2023, 5 citations). His interdisciplinary approach, combining cutting-edge control algorithms with real-world deployment challenges, positions him as a key figure bridging robotics innovation and practical healthcare applications.
Research Focus
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Top Papers
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