Shiwei Feng
Papers
1
Total Citations
2
H-Index
1
About
Shiwei Feng is a leading researcher in robotic software engineering, with a primary focus on the reliability and security of the Robot Operating System (ROS) framework. His most notable contribution is the development of **ROSCallBaX**, a static analysis tool introduced in his 2025 paper that automatically detects inconsistencies in callback function setups within robotic systems. This work addresses a critical challenge in modern robotics: the integration of modules built with different ROS versions (ROS1 vs. ROS2) and programming languages (C++ vs. Python). By identifying mismatches that could lead to runtime failures, Feng’s research directly improves the robustness of complex, multi-module robotic architectures. While his citation count is still growing, his work has already gained attention for its practical impact on safety-critical robotic applications. Feng’s contributions are particularly valuable for developers building scalable, heterogeneous robotic systems, and his approach represents a significant step toward automated verification in the rapidly evolving ROS ecosystem.
Research Focus
Key Achievements
Top Papers
- 1