Chenggang Xie

National University of Defense Technology

Papers

Total Citations

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About

Chenggang Xie is a robotics researcher whose work bridges perception, calibration, and autonomous manipulation. His key research areas include sensor fusion, mobile robot odometry, and robotic control systems for dynamic environments. Xie’s most influential contribution is his work on **extrinsic calibration and odometry for camera-LiDAR systems** (2019, 22 citations), where he introduced a two-stage calibration method and a hybrid-residual-based odometry approach. This work is critical for autonomous robots that rely on monocular cameras and 3D LiDARs for localization and mapping, offering a practical solution to a fundamental sensor fusion challenge. Earlier, Xie contributed to the **RoboCup Middle Size League** with a control system for active ball handling (2016, 14 citations), designing and testing a mechanism for dribbling used by the NuBot team. This work demonstrates his ability to translate theoretical models into real-world robotic performance. With a focus on both perception and actuation, Xie’s research supports the development of more capable, autonomous mobile robots, making his work valuable for students and researchers in field robotics and intelligent systems.