Papers
2
Total Citations
4
H-Index
2
About
Bo-Han Wu is a researcher whose work bridges control theory, robotics, and intelligent systems. His key research areas include feedback linearization control, adaptive estimation, and cooperative localization for mobile robotics. Wu’s major contribution is the development of a feedback linearizing control framework for moving-base line-of-sight tracking systems, which incorporates adaptive spherical target estimation to enhance precision in dynamic environments. This work, published in 2025, has already garnered 2 citations, signaling early impact in the field. Earlier, Wu proposed a dynamic cooperative scheme using multiple antennas to improve indoor mobile robot localization, demonstrating how spatial diversity and decision-making techniques can boost GNSS signal detection and positioning accuracy. His 2013 paper on this topic also holds 2 citations, reflecting sustained interest in practical robotics solutions. Wu’s research is notable for its focus on real-world implementation, particularly in challenging indoor environments where traditional GPS fails. His work on adaptive estimation and cooperative systems offers valuable insights for students and researchers working on autonomous navigation, sensor fusion, and robust control. With a clear trajectory toward advancing intelligent robotic systems, Wu’s contributions are poised to influence both theoretical developments and applied engineering.
Research Focus
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Top Papers
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