Yuting Xie

Sun Yat-sen University, Beijing University of Posts and Telecommunications

Papers

Total Citations

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About

Yuting Xie is a researcher at the forefront of intelligent robotics and sustainable mining, whose work bridges the gap between autonomous perception and real-world industrial applications. Their key research areas include cooperative SLAM (Simultaneous Localization and Mapping), AI-driven mining, and robotic perception for resource extraction. Xie’s most impactful contribution is the development of RDC-SLAM, a real-time distributed cooperative SLAM system for 3D LiDAR, which enables multiple robots to collaboratively explore and map large, complex environments with improved accuracy and efficiency—a work that has garnered 53 citations. In the domain of sustainable mining, Xie’s 2024 paper on the role of artificial intelligence in revolutionizing the sector has already accumulated 30 citations, highlighting its timely relevance. Additionally, Xie has advanced practical robotic systems with a coal and gangue recognition method based on local texture classification, supporting automated waste separation in mining, and an Edge-guided GAN for depth image inpainting that leverages edge information to restore missing data. With a portfolio that spans from foundational perception algorithms to applied AI for environmental sustainability, Yuting Xie is shaping the future of autonomous systems in challenging, resource-critical environments.