Zixiang Yan

Henan University of Science and Technology

Papers

Total Citations

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About

Zixiang Yan is a robotics researcher whose work focuses on advancing Simultaneous Localization and Mapping (SLAM) technologies for specialized, dynamic environments. Yan's primary contribution is the development of GY-SLAM, a dense semantic SLAM system tailored for plant factory transport robots. This system directly addresses a critical challenge in intelligent robotics: the limitations of traditional SLAM in dynamic settings. By integrating semantic understanding with dense mapping, Yan's research enables autonomous robots to navigate and operate reliably in the cluttered, changing conditions of agricultural facilities. The work on GY-SLAM has garnered over 8 citations, signaling its relevance to the growing field of agricultural robotics. Yan's achievements lie in bridging the gap between state-of-the-art SLAM algorithms and real-world industrial applications, specifically within controlled-environment agriculture. This targeted innovation not only enhances the autonomy of transport robots but also contributes to the broader goal of automating plant production. For students and researchers interested in robotics, SLAM, or precision agriculture, Yan’s work offers a compelling example of how foundational robotics techniques can be adapted to solve practical, domain-specific problems.