Yu‐Xin Tian

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About

Yu-Xin Tian is a robotics researcher whose work centers on collaborative perception and multi-robot systems, with a particular focus on visual simultaneous localization and mapping (SLAM) for service robots. Their major contribution is the development of a collaborative visual SLAM framework that enables multiple robots to operate seamlessly within shared environments. By leveraging an edge server to maintain a centralized map database and perform global optimization, Tian’s framework allows each robot to register to existing maps, update them, or build new ones through a unified interface—a breakthrough for scalable, real-world deployment. This work has garnered over 27 citations, reflecting its relevance in advancing autonomous navigation for service robotics. The framework addresses critical challenges in multi-robot coordination, such as map consistency and computational efficiency, making it a foundational reference for researchers in SLAM and cooperative robotics. Tian’s research stands out for its practical emphasis on edge computing and system integration, offering a robust solution for applications ranging from warehouse logistics to domestic assistance. Their contributions continue to shape the trajectory of collaborative autonomy in robotics.