Ching-Huo Huang

National Yunlin University of Science and Technology

Papers

Total Citations

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About

Dr. Ching-Huo Huang is a pioneering researcher in intelligent robotic control systems, with a primary focus on neural network-based identification and control of direct drive robots. His major contributions lie in developing back-propagation neural network architectures that enable precise trajectory tracking and adaptive control for robotic manipulators, effectively bridging the gap between neural computation and real-time robotic applications. Notably, his 1996 work on "Back-propagation neural networks for identification and control of a direct drive robot" (14 citations) established foundational methods for integrating neural controllers with robotic systems, while his subsequent research on neural network controllers with PID compensation (12 citations) introduced hybrid approaches that significantly improved tracking accuracy and robustness. Dr. Huang also explored fuzzy parameter identification techniques (5 citations) for direct drive robots, demonstrating versatility in intelligent control methodologies. Though his citation counts reflect focused, early-career contributions, his work remains relevant for researchers developing neural and fuzzy control strategies in robotics. His publications from 1996 represent a concentrated effort to advance autonomous robotic systems through computational intelligence, making him a notable figure in the early integration of neural networks with mechanical control systems.