Qingpo Xu

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About

Qingpo Xu is a robotics researcher whose work focuses on advancing multi-sensor perception, system identification, and multi-robot coordination. His most impactful contribution is a novel method for synchronous automated extrinsic calibration of LiDAR and cameras using a circular calibration board, which has garnered 17 citations since its 2023 publication. This work addresses a critical bottleneck in sensor fusion for robotic environmental perception, enabling more accurate and reliable localization by aligning data from two fundamentally different sensors. Xu’s approach streamlines a traditionally labor-intensive process, making it more practical for real-world autonomous systems. Beyond calibration, he has developed an integral-elimination technique for identifying inertial and friction parameters in robotic systems, and proposed a task scheduling method for multi-robot collaboration. These contributions demonstrate a broad expertise in both the hardware and software challenges of robotics. By tackling foundational problems in sensor fusion and system modeling, Xu is helping to build the technical infrastructure for more capable and autonomous robots, with his calibration method already serving as a reference point for researchers in the field.