Yifei Gao

Papers

Total Citations

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About

Yifei Gao is a rising researcher in the field of software engineering and robotics, with a primary focus on the reliability and security of robotic systems built on the Robot Operating System (ROS) framework. His most notable contribution is the development of ROSCallBaX, a static analysis tool that automatically detects inconsistencies in callback function setups within mixed-version (ROS1/ROS2) and multi-language (C++/Python) robotic systems. This work addresses a critical and previously underexplored source of runtime failures, offering a proactive approach to debugging complex, modular robot software. Although early in his career, his flagship paper has already garnered attention with 2 citations, signaling its relevance to practitioners and researchers dealing with the growing complexity of robotic software integration. Gao’s research is particularly impactful for developers building large-scale, heterogeneous robotic systems, where subtle configuration mismatches can lead to catastrophic failures. His work stands out for its practical, tool-driven methodology, bridging the gap between static analysis and real-world robotics challenges. As the ROS ecosystem continues to expand, Gao’s contributions are poised to become essential for ensuring the correctness and robustness of next-generation autonomous systems.