Yihuan Zhang

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About

Yihuan Zhang is a leading figure in autonomous robotics, with a primary focus on LiDAR-based simultaneous localization and mapping (SLAM) for robotic mapping. Their seminal work, the 2023 paper “LiDAR-based SLAM for robotic mapping: state of the art and new frontiers,” has already garnered 50 citations, establishing it as a key reference in the field. In this comprehensive survey, Zhang systematically reviews decades of progress in light detection and ranging (LiDAR) SLAM techniques, offering a critical analysis of existing methods while charting promising new frontiers. The paper serves as an essential roadmap for both researchers and engineers, synthesizing complex developments into actionable insights. Beyond this landmark contribution, Zhang’s research continues to push the boundaries of autonomous navigation, addressing challenges in real-time mapping, sensor fusion, and robust localization in unstructured environments. Their work has become a cornerstone for students and practitioners seeking to understand the evolution of robotic mapping, cementing Zhang’s reputation as a thought leader whose insights are shaping the next generation of intelligent, self-navigating systems.