Papers
1
Total Citations
10
H-Index
1
About
Yongyi Yan is a researcher in robotics and sensor networks, with a focus on cooperative localization and multi-agent systems. Their most-cited work, "Hybrid cooperative localization based on robot-sensor networks" (2021), has garnered 10 citations, reflecting its contribution to improving accuracy and robustness in distributed robotic systems. Yan’s research addresses critical challenges in autonomous navigation by integrating heterogeneous sensors and communication protocols, enabling robots to collaboratively estimate positions in dynamic environments. This work has implications for applications such as search-and-rescue, environmental monitoring, and industrial automation. Yan’s approach emphasizes hybrid architectures that balance computational efficiency with real-time performance, advancing the field of networked robotics. Their contributions are particularly notable for bridging theoretical frameworks with practical deployment scenarios, offering scalable solutions for complex localization tasks. Yan’s ongoing work continues to explore the intersection of robotics, sensor fusion, and distributed intelligence, making them a promising voice in the development of resilient, autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Hybrid cooperative localization based on robot-sensor networks10 citations · 2021