Xiaoyu Shi

Shanghai Jiao Tong University, University of Electronic Science and Technology of China

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About

Xiaoyu Shi is a robotics researcher focused on enabling autonomous systems to operate safely and intelligently in complex, real-world environments. Their primary research areas include autonomous navigation, semantic simultaneous localization and mapping (SLAM), and adaptive manipulator control. A key contribution is their work on autonomous navigation for mobile robots in hazardous radiation environments with uneven terrain, a critical advancement for nuclear decommissioning and disaster response (16 citations). Shi also developed an object-oriented semantic SLAM system that allows mobile manipulators to geometrically model their surroundings and identify objects of interest while robustly adapting to dynamic environments with moving people or other robots (9 citations). This work bridges the gap between environmental perception and practical manipulation. Additionally, their research on trajectory tracking control for 6-DOF manipulators, using a PD-based method with high-precision laser tracker feedback, enables dynamic tracking for intelligent detection tasks (3 citations). By integrating robust navigation, semantic understanding, and precise control, Xiaoyu Shi’s work contributes directly to the next generation of autonomous robots capable of performing complex tasks in unstructured and challenging settings.