Songran Liu

Northeastern University, Hong Kong Polytechnic University

Papers

Total Citations

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About

Songran Liu is a rising researcher in real-time robotic systems, specializing in the timing analysis and performance optimization of the Robot Operating System (ROS 2) and its microcontroller variant, Micro-ROS. His work addresses critical challenges in ensuring predictable and efficient inter-process communication and task scheduling for safety-critical robotic applications. Liu’s most-cited paper, “Modeling and Analysis of Inter-Process Communication Delay in ROS 2” (2023, 8 citations), provides foundational models for understanding communication-induced timing delays, a key bottleneck in real-time performance. He further advanced the field with “Improving Real-Time Performance of Micro-ROS with Priority-Driven Chain-Aware Scheduling” (2024, 5 citations), identifying and rectifying design flaws in Micro-ROS scheduling to enhance determinism on resource-constrained devices. His paper “RTeX: An Efficient and Timing-Predictable Multithreaded Executor for ROS 2” (2024, 5 citations) introduces a novel executor architecture that overcomes the limitations of ROS 2’s default multithreaded executor, offering both efficiency and timing predictability. With a focused portfolio of high-impact work, Liu is establishing himself as a key contributor to the next generation of real-time robotic software frameworks.