Papers
17
Total Citations
136
H-Index
5
About
Shuhui Bi is a researcher specializing in indoor robot localization, sensor fusion, and autonomous mobile systems, with contributions spanning state estimation theory, nonlinear control, and intelligent warehouse robotics. His most impactful work addresses a critical challenge in ultra-wideband (UWB)-based localization: the degradation caused by colored measurement noise. His 2023 paper developing hybrid Extended Kalman and Unbiased Finite Impulse Response (UFIR) filter frameworks has already garnered 47 citations, establishing him as a notable voice in robust indoor positioning. Bi has also advanced multi-sensor fusion methodologies, integrating UWB with INS, LiDAR, compass, and vision systems to achieve reliable localization in complex real-world environments, including non-line-of-sight conditions. His earlier work in robust nonlinear control (23 citations) demonstrates breadth beyond localization, while his trajectory planning and path optimization research reflects a sustained interest in practical robotic applications, particularly for automated guided vehicles and intelligent warehouse systems. Across his portfolio, Bi consistently bridges theoretical filter design with applied robotics challenges, making his work particularly valuable for engineers and researchers developing next-generation autonomous indoor navigation systems.
Research Focus
Key Achievements
Top Papers
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- 2New Developments on Robust Nonlinear Control and Its Applications23 citations · 2014
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