Yuanjiong Ying
Papers
3
Total Citations
11
H-Index
3
About
Yuanjiong Ying is a rising researcher in robotics and human–robot interaction, with a focus on enhancing safety and perception through active vision and localization systems. Their key research areas include collision detection for collaborative robotic arms, multi-view active sensing, and computationally efficient localization for flying robots. Ying’s major contributions include the development of CEASE (Collision-Evaluation-Based Active Sense System), which uses visual fences to improve safety in collaborative robotic arms, addressing the limitations of stationary cameras by enabling dynamic detection ranges. They also proposed a moving horizon estimation algorithm for flying robots, leveraging a low-cost IMU and a single UWB anchor to achieve precise position estimation with high cost-performance. Additionally, Ying introduced a multi-view active sensing framework using a hierarchically connected tree structure to overcome occlusion and restricted fields of view in human–robot interaction. With over 11 citations across their top papers, Ying’s work has been recognized for its practical impact, particularly in advancing safe and efficient robotic systems. Their innovative approaches to active vision and estimation are paving the way for more responsive and autonomous robotic applications in dynamic environments.
Research Focus
Key Achievements
Top Papers
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