Tzu-Yuan Huang
Technical University of Munich, National Cheng Kung University
Papers
3
Total Citations
14
H-Index
2
About
Tzu-Yuan Huang is a rising researcher in the field of control systems, with a focus on safety-critical control for unknown dynamic systems. His key research areas include prescribed-time safety, control barrier functions, and system identification for robotic manipulators. Huang’s major contribution lies in developing learning-based frameworks that guarantee state constraint satisfaction within a prescribed time—even when system dynamics are unknown. His 2024 paper on “Learning-Based Prescribed-Time Safety for Control of Unknown Systems With Control Barrier Functions” (7 citations) addresses a critical gap by extending prescribed-time safety guarantees to systems with unknown dynamics. He further advanced this work in 2025 with a Gaussian Process-based approach to input-to-state safety. Additionally, Huang has made notable contributions to robotics, proposing a rapid recurrent neural network-based algorithm for testing the physical feasibility of base parameters during robot dynamic model identification (6 citations). His work bridges theoretical safety guarantees with practical implementation challenges, making him a promising voice in modern control theory and robotics.
Research Focus
Key Achievements
Top Papers
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