Tang Shu-bo

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About

Tang Shu-bo is a pioneering researcher in mobile robotics, with a primary focus on autonomous navigation, map building, and trajectory tracking for wheeled mobile robots. His foundational work on indoor map building and pose tracking using laser scanning, published in 2005, established key methodologies for extracting line features from laser range finder data to enable real-time environmental mapping and self-localization—a critical capability for autonomous robots operating in unknown indoor spaces. This highly cited paper (14 citations) remains influential in the field of simultaneous localization and mapping (SLAM). In parallel, Shu-bo advanced control theory for nonholonomic vehicles through his discrete trajectory tracking controller, which extended traditional continuous velocity control laws using backstepping technology to handle discrete-time systems. This work, also from 2005, addressed a practical gap in robotics control by accommodating both continuous and sampled-data trajectories, earning recognition among control engineers. Together, these contributions have helped shape modern approaches to mobile robot autonomy, bridging sensing, mapping, and motion control in real-world applications.