Papers
4
Total Citations
23
H-Index
3
About
Xiantong Luo is an emerging researcher specializing in real-time systems analysis and robotic software frameworks, with a particular focus on ROS 2 (Robot Operating System 2) — the dominant development platform for modern robotics applications. His work addresses one of the field's most pressing challenges: ensuring that safety-critical robotic systems meet strict timing guarantees required for reliable, real-world deployment. Luo's major contributions center on formal modeling and analysis of timing behaviors within ROS 2 environments. His highly cited 2023 paper on real-time performance analysis of ROS 2 executors (9 citations) established rigorous frameworks for understanding how processing systems behave under hard real-time constraints. Complementing this, his work on inter-process communication delay (8 citations) tackled the often-overlooked communication dimension of timing correctness, filling a significant gap in the existing literature. More recent contributions explore data refreshing in processing chains and communication delay optimization in multi-subscriber environments, demonstrating a systematic progression toward comprehensive, end-to-end timing analysis. With over 23 citations accumulated across just a few years of publication, Luo's research is gaining meaningful traction in the robotics and real-time systems communities, making his work essential reading for engineers and researchers building dependable autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Real-Time Performance Analysis of Processing Systems on ROS 2 Executors9 citations · 2023
- 2Modeling and Analysis of Inter-Process Communication Delay in ROS 28 citations · 2023
- 3Timing analysis of processing chains with data refreshing in ROS 24 citations · 2024
- 4