Ziyue Jiang

Papers

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About

Ziyue Jiang is a researcher focused on advancing robotic communication and middleware systems, with a particular emphasis on optimizing data transmission in intelligent robotic platforms. His work addresses the critical challenge of balancing high performance with high reliability in robotic operating environments, where massive data flows must be handled efficiently without compromising system stability. Jiang’s most cited paper, "Message Passing Optimization in Robot Operating System" (2019, 20 citations), introduces novel techniques to streamline inter-process communication, reducing latency and overhead in robotic frameworks. Building on this, his subsequent studies, including "Zoro: A robotic middleware combining high performance and high reliability" (2022, 8 citations) and its 2020 precursor, propose a middleware solution that integrates robust error handling with real-time throughput—a key requirement for modern AI-driven robotics. These contributions are particularly notable for their practical implications, offering a foundation for scalable and dependable robotic systems in applications ranging from autonomous navigation to industrial automation. With a total of 36 citations across his top works, Jiang’s research is steadily gaining recognition in the robotics community, positioning him as a rising voice in the design of next-generation robotic communication architectures.