Yong-Hao Zou

Papers

Total Citations

H-Index

About

Yong-Hao Zou is a researcher advancing the reliability and safety of robotic software systems, with a primary focus on the Robot Operating System (ROS). His work addresses critical challenges in testing and fault tolerance for autonomous robots. In his highly cited 2022 paper, "ROZZ: Property-based Fuzzing for Robotic Programs in ROS" (11 citations), Zou introduced a novel fuzzing approach that leverages ROS-specific properties—such as multi-dimensional state spaces—to detect bugs more effectively than conventional methods. This contribution is pivotal for modern robotics, where runtime failures can have severe consequences. Building on this, his 2021 work, "Effective Crash Recovery of Robot Software Programs in ROS" (4 citations), tackles the practical problem of program crashes during autonomous tasks, proposing robust recovery mechanisms to ensure continuous operation. Together, these studies highlight Zou’s impact on enhancing robot software dependability, offering both proactive bug detection and reactive fault recovery. His research is essential for students and engineers developing resilient robotic systems, bridging the gap between theoretical testing and real-world reliability.