Chen-Yang Chuang

National Taiwan University, Southern Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Chen-Yang Chuang is a robotics researcher whose work centers on intelligent control systems for bipedal locomotion and human-robot interaction. His most significant contributions lie in applying adaptive neuro-fuzzy inference systems (ANFIS) and artificial neural networks to solve the complex challenge of biped robot balance and gait control. In his highly cited 2007 paper, he pioneered an ANFIS-based controller that first identifies the robot's dynamic model before generating stable walking patterns, achieving 11 citations for its novel approach to system identification and motion control. He further advanced this field with a back-propagation neural network controller capable of online learning for real-time gait balance adjustments. Beyond locomotion, Chuang demonstrated the practical application of his expertise by developing an interactive nurse robot that integrates image processing, speech recognition, and autonomous navigation for home healthcare. This work, which has garnered 4 citations, showcases his ability to bridge theoretical control methods with real-world assistive technology. His research remains foundational for engineers developing adaptive, intelligent controllers for legged robots and service robotics.