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

3
H-Index
4
Papers
23
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Real-Time Performance Analysis of Processing Systems on ROS 2 Executors
9 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Northeastern University, University of Electronic Science and Technology of China

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago