Yu-Chih Huang

Delft University of Technology, Tainan University of Technology, National Taiwan University

Papers

Total Citations

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About

Yu-Chih Huang is a robotics researcher whose work bridges the gap between intuitive human-robot interaction and adaptive locomotion. His primary research areas include tele-impedance control, human-robot interfaces, and bio-inspired robotic design. Huang’s most significant contribution is the development of a semi-autonomous tele-impedance method that integrates vision and voice interfaces, enabling operators to control both motion and impedance of remote robots in unstructured environments. This work, which has garnered 7 citations, reduces operator workload while enhancing robot performance in unpredictable settings—a critical advancement for search-and-rescue and field robotics. He has also contributed to inconsistency detection and data fusion for Urban Search and Rescue (USAR) tasks, addressing the challenge of overlapping and conflicting sensor data to improve query accuracy. Additionally, Huang designed a running hexapod robot with differentiated front and hind leg morphology, using linear springs to replicate animal-like braking and thrusting force patterns. This model-based approach to legged locomotion, though early in its citation impact, demonstrates his commitment to translating biological principles into robotic efficiency. Huang’s work stands out for its practical focus on reducing human cognitive load while expanding robotic autonomy in complex, real-world environments.