Xu Liang

Papers

1

Total Citations

3

H-Index

1

About

Xu Liang is a researcher specializing in robotics software systems and real-time computing, with a particular focus on the performance evaluation of robot operating systems. Their most notable contribution examines the real-time capabilities of RGMP-ROS, a robot operating system, through a rigorous investigation of real-time operating system kernel functions. In this work, Liang systematically identifies and analyzes the principal factors influencing operating system real-time performance, proposing a structured methodology for benchmarking and testing that offers practical value to robotics developers and systems engineers alike. Published in 2014, this research addresses a critical challenge in robotics: ensuring that software platforms can meet the strict timing demands required for reliable robot control and operation. With 3 citations, the work has begun to establish a footprint within the robotics and embedded systems community. For students and researchers working at the intersection of robotics middleware, operating systems, and real-time computing, Xu Liang's contributions offer foundational insights into performance validation frameworks — an increasingly important area as robotic systems grow in complexity and deployment scale.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Research on Real-time Performance Testing Methods for Robot Operating System
3 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago