Papers
2
Total Citations
35
H-Index
2
About
Dr. Bo Yan is a leading researcher in multi-robot systems and sensor fusion, with a primary focus on ultra-wideband (UWB) localization and cooperative robotics. His work addresses critical challenges in indoor positioning, particularly the degradation of accuracy caused by non-line-of-sight (NLOS) errors. Dr. Yan’s most cited paper, “Multimobile Robot Cooperative Localization Using Ultrawideband Sensor and GPU Acceleration” (2021, 26 citations), introduces a pioneering system that leverages GPU hardware to achieve real-time, high-precision localization for teams of mobile robots in complex indoor environments. This work is complemented by his earlier study, “A Bayesian Filtering Approach for Error Mitigation in Ultra-Wideband Ranging” (2019, 9 citations), which develops a robust probabilistic framework to reduce NLOS-induced ranging errors. Together, these contributions demonstrate Dr. Yan’s ability to blend theoretical rigor with practical, hardware-accelerated solutions. His research has significant implications for autonomous warehouse logistics, search-and-rescue operations, and industrial automation, where reliable multi-robot coordination is essential. Dr. Yan’s work continues to shape the future of cooperative robotics and sensor-based navigation.
Research Focus
Key Achievements
Top Papers
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