Papers
1
Total Citations
6
H-Index
1
About
Sirui Xu is a researcher whose work centers on robotics, autonomous systems, and embedded SLAM (Simultaneous Localization and Mapping) technologies. Their most notable contribution, the highly cited paper "Indoor mapping using gmapping on embedded system" (2017), addresses a critical challenge in autonomous vehicle development: implementing efficient laser-based SLAM on resource-constrained embedded platforms. By leveraging the ROS (Robot Operating System) gmapping package, Xu demonstrated practical solutions for indoor mapping that bridge the gap between advanced SLAM algorithms and real-world hardware limitations. This work has garnered 6 citations, reflecting its relevance to researchers tackling embedded system constraints in robotics. Xu's research is particularly impactful for students and engineers working on low-cost autonomous platforms, as it provides a foundational methodology for deploying SLAM in environments where computational power is limited. Their contributions underscore the importance of optimizing complex algorithms for embedded systems, a key enabler for the proliferation of affordable autonomous vehicles and service robots.
Research Focus
Key Achievements
Top Papers
- 1Indoor mapping using gmapping on embedded system6 citations · 2017