Hsueh-Yi Lin
Papers
6
Total Citations
55
H-Index
5
About
Hsueh-Yi Lin is a researcher specializing in intelligent control systems, mobile robotics, and computational intelligence, with a particular focus on fuzzy logic, neural networks, and bio-inspired optimization algorithms. His work addresses fundamental challenges in autonomous robot navigation and control within unknown environments, developing sophisticated frameworks that enable mobile robots to perceive, reason, and act intelligently. Lin's most significant contributions include the development of a knowledge-based neural fuzzy controller (KNFC) optimized through cultural multi-strategy differential evolution, applied to PIONEER 3-DX robots for autonomous navigation — his most cited work, accumulating 18 citations. He has also pioneered interval type-2 fuzzy neural networks enhanced by particle swarm optimization, demonstrating superior noise-suppression capabilities over traditional approaches, garnering 15 citations. His behavior-based fuzzy control architectures for robot wall-following tasks in unknown environments represent another recurring theme across multiple publications. Collectively, Lin's research bridges advanced soft computing methodologies with practical robotics applications, producing controllers that are both adaptive and robust. His body of work, spanning navigation control, predictive modeling, and evolutionary optimization, offers valuable foundational tools for researchers pursuing intelligent autonomous systems and human-robot interaction in dynamic, unstructured environments.
Research Focus
Key Achievements
Top Papers
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