Papers
2
Total Citations
15
H-Index
2
About
Yujiang Liu is a pioneering researcher at the intersection of autonomous robotics and medical rehabilitation, whose work bridges heavy-duty industrial automation with precision surgical assistance. His key research areas encompass sensor fusion for simultaneous localization and mapping (SLAM), autonomous aerial work robots, and robot-assisted orthopedic interventions. Liu’s most cited work, the USTC FLICAR Dataset (2023, 9 citations), provides a critical multi-sensor fusion resource—integrating LiDAR, inertial, and camera data—specifically designed to enable heavy-duty autonomous aerial work robots to achieve precise 3D workspace reconstruction. This contribution addresses a significant gap in industrial robotics, offering a standardized benchmark for robust SLAM in challenging environments. In parallel, Liu has advanced medical robotics through the development of a robot-assisted reduction and rehabilitation system for distal radius fractures (2024, 6 citations). This system tackles the clinical challenge of closed reduction, traditionally requiring multiple experienced staff and manual traction, by introducing real-time radiographic assessment and automated stabilization. Liu’s work exemplifies a dual commitment to enhancing both industrial automation and patient care, demonstrating how robotic systems can transform high-stakes tasks from construction sites to operating rooms.
Research Focus
Key Achievements
Top Papers
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