Papers
24
Total Citations
183
H-Index
8
About
Zhuohua Duan is a robotics researcher whose work centers on mobile robot navigation, fault detection and diagnosis (FDD), and probabilistic state estimation. His most significant contributions lie in advancing particle filter methodologies for wheeled mobile robots (WMRs), particularly in developing adaptive and evolutionary variants capable of handling both known and unknown faults under real-world conditions. His 2006 paper on adaptive particle filters for unknown fault detection and his 2005 work integrating rule-based inference with multiple particle filters for dead-reckoning diagnosis each garnered 25 citations, establishing him as an early innovator in probabilistic fault-tolerant robotics. Duan's research further extended into soft fault compensation, robust dead reckoning across complex terrain, and simultaneous localization and mapping (SLAM) using laser range finders, reflecting a sustained effort to make mobile robots reliable in unpredictable environments. His 2014 work on robust dead reckoning using raw range scans demonstrates a continued commitment to practical fault-resilient navigation. With contributions spanning sensor fusion, position tracking, and moving object detection, Duan's body of work — accumulating over 130 citations — offers foundational techniques for researchers tackling autonomy and reliability in mobile robotics systems.
Research Focus
Key Achievements
Top Papers
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- 3An adaptive particle filter for soft fault compensation of mobile robots17 citations · 2008
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- 6Design of dead reckoning system for mobile robot10 citations · 2006
- 7An adaptive particle filter for mobile robot fault diagnosis9 citations · 2006
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