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About

Hao-Ya Hsueh is a robotics researcher whose work bridges autonomous mobile systems, path planning, and robotic disinfection technologies. With a keen focus on practical applications of robotics in real-world settings, Hsueh has made notable contributions to two distinct but complementary domains. His highly cited review on UV disinfection robots (2022, 76 citations) has become a foundational reference in the field, systematically surveying how ultraviolet germicidal irradiation can be integrated into autonomous platforms to combat infectious diseases — a topic that gained particular urgency during the COVID-19 pandemic. Building on this, his work on Far-UVC disinfection with robotic mobile manipulators demonstrates a hands-on approach to translating theoretical frameworks into deployable solutions. Equally significant is Hsueh's development of PathBench, a benchmarking platform designed to unify and evaluate both classical and learning-based path planning algorithms (2021, 27 citations). This contribution addressed a critical gap in mobile robotics by enabling systematic, fair comparisons across diverse algorithms, as further explored in his subsequent comparative study. Collectively, Hsueh's research reflects a commitment to both rigorous evaluation methodology and applied robotics innovation, making his work highly relevant to students and engineers advancing autonomous systems.