Hanbiao Xiao
Papers
2
Total Citations
21
H-Index
2
About
Hanbiao Xiao is a rising researcher in the field of robotics and autonomous systems, with a primary focus on mobile robot control and cooperative localization in challenging environments. His work addresses critical challenges in dynamic and high-risk industrial settings, particularly in the domains of adaptive control and sensor fusion. Xiao’s most significant contribution is the development of an Adaptive Model Predictive Control framework that explicitly accounts for localization fluctuations, a common yet often neglected source of instability in mobile robots. This work, which has garnered 18 citations, provides a robust solution to prevent violent jittering and improve trajectory tracking in dynamic scenarios. Additionally, his research on robot-grabber cooperative localization for bulk carrier unloading operations tackles the high-risk, low-efficiency problem of manual observation in highly dynamic cargo holds. By introducing a cooperative perception system, Xiao’s work enhances safety and operational efficiency in heavy industries. Though early in his career, his targeted solutions to real-world industrial problems demonstrate a clear trajectory toward impactful, applied research in autonomous navigation and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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