Yu-Ping Wang

Griffith University, Tsinghua University

Papers

Total Citations

H-Index

About

Yu-Ping Wang is a leading researcher at the intersection of robotics, education technology, and software engineering. Her work primarily focuses on developing intelligent robotic systems and enhancing the reliability of Robot Operating System (ROS) programs. Wang’s most impactful contribution is the design of an authoring system for robots and IoT-based toys to support English as a Foreign Language (EFL) teaching and learning, a study that has garnered 51 citations and demonstrates her commitment to practical, scenario-based educational tools. In the realm of robotics software, she has advanced message-passing optimization in ROS, achieving 20 citations, and introduced ROZZ, a property-based fuzzing framework for detecting bugs in robotic programs, which has already attracted 11 citations. Wang also developed ROS-SF, a framework that balances transparency and efficiency in ROS message-passing. Her work on synthesizing robot programs with an interactive tutor mode further highlights her dedication to accessible, user-friendly robotics. With a career marked by innovative, cross-disciplinary research, Wang continues to shape how robots are designed, taught, and trusted in real-world applications.