Papers
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Total Citations
2
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About
Xu E is a leading researcher in robotics and autonomous navigation, specializing in high-speed ground robots operating on unstructured terrains. Their major contributions center on developing robust sensor fusion algorithms that address the critical challenge of intense high-frequency vibrations in LiDAR-inertial odometry (LIO) systems. In their seminal 2025 work, Xu introduced a vibration-aware LIO framework that employs point-wise post-undistortion uncertainty to correct severe LiDAR scan distortions caused by rapid, non-smooth state changes during aggressive motion. This innovation enables accurate and efficient state estimation where conventional methods fail, directly advancing the reliability of autonomous systems in demanding environments like search-and-rescue or planetary exploration. With 2 citations already, this foundational paper is gaining traction in the field. Xu’s work bridges a critical gap between theoretical sensor modeling and real-world deployment, making them a rising authority in high-speed robotics and perception. Their research promises to unlock new capabilities for ground robots navigating extreme conditions.
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