About

Yunfei Liu is a robotics researcher whose work centers on multi-sensor fusion, precise localization, and intelligent control for autonomous and collaborative robotic systems. His most impactful contribution, "Multi-robot relative positioning and orientation system based on UWB range and graph optimization" (39 citations), addresses a critical challenge in multi-robot coordination by integrating ultra-wideband ranging with graph-based optimization to achieve accurate relative positioning without external infrastructure. This work is foundational for applications in swarm robotics and industrial automation. Liu also advances the reliability of visual-inertial navigation systems through his evaluation of MEMS-IMU performance on absolute trajectory error (9 citations), providing essential benchmarks for sensor fusion in GPS-denied environments. Additionally, his research on adaptive fuzzy sliding mode control for 7-degree-of-freedom collaborative robots (2 citations) tackles the complexities of nonlinear dynamics and external disturbances, enhancing the robustness of human-robot interaction. By bridging theoretical control methods with practical sensor fusion, Liu’s work directly supports the development of more autonomous, resilient, and cooperative robotic systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
50
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Multi-robot relative positioning and orientation system based on UWB range and graph optimization
39 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Aerospace Information Research Institute, Chinese Academy of Sciences, China Electronics Technology Group Corporation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago