Pengfa Xie

Papers

Total Citations

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About

Pengfa Xie is a robotics researcher whose work lies at the intersection of autonomous navigation and human-robot interaction, with a particular focus on life-saving applications. His research primarily addresses two critical challenges in mobile robotics: improving Simultaneous Localization and Mapping (SLAM) algorithms and enabling non-contact physiological monitoring during search and rescue missions. In his most-cited work, Xie proposed a modified keyframe selection algorithm for ORB-SLAM2, enhancing both real-time performance and localization accuracy—key requirements for autonomous robot navigation in dynamic environments. His second major contribution involves developing a vision-based system for non-contact vital signs measurement on mobile rescue robots, allowing robots to detect human presence and monitor physiological parameters like heart rate from video footage alone. This work has significant implications for disaster response, where traditional contact-based sensors may be impractical. With 15 total citations across his published works, Xie’s research demonstrates a clear trajectory toward creating more perceptive and capable rescue robots. His innovative integration of computer vision techniques for both environmental mapping and human sensing represents a meaningful step forward in making mobile robots more effective partners in emergency response scenarios.