Kejie Yin
Papers
1
Total Citations
96
H-Index
1
About
Kejie Yin is a leading researcher in intelligent robotics and multi-agent systems, with a primary focus on collaborative perception and localization for industrial environments. His most influential work, "Intelligent Collaborative Localization Among Air-Ground Robots for Industrial Environment Perception" (2018, 96 citations), addresses a critical challenge in factory automation: enabling heterogeneous robots—both aerial and ground-based—to accurately determine their positions in complex, GPS-denied industrial settings. By developing novel algorithms for cooperative localization, Yin's research has significantly advanced the reliability of multi-robot systems used in factory freight logistics, patrol security, and collaborative service tasks. His contributions bridge the gap between theoretical multi-agent coordination and practical industrial deployment, offering robust solutions for environment perception where traditional single-robot approaches fail. This work has been widely cited by researchers working on swarm robotics, sensor fusion, and industrial IoT, underscoring its impact on both academic theory and real-world automation. Yin's ongoing research continues to push the boundaries of intelligent perception, making him a key figure in the evolution of autonomous industrial systems.
Research Focus
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Top Papers
- 1