Papers
24
Total Citations
254
H-Index
8
About
Jinxia Yu is a robotics researcher whose work has made meaningful contributions to the fields of fault detection and diagnosis (FDD), fault tolerant control (FTC), and autonomous navigation for wheeled mobile robots (WMRs). Working at the intersection of probabilistic estimation and robotic systems, Yu's research has been particularly focused on enabling robots to operate reliably in unknown and unstructured environments — a challenge of critical importance for applications such as planetary exploration. Yu's most influential contribution, a comprehensive survey on fault diagnosis and fault tolerant control for wheeled mobile robots (2006, 78 citations), remains a foundational reference in the field. Complementing this, she pioneered the application of adaptive and multiple particle filter frameworks for both known and unknown fault detection, demonstrating how sequential Monte Carlo methods could be practically integrated with rule-based inference to diagnose complex robot failures. Her work on dead reckoning in complex terrain and dynamic obstacle detection using laser radar further broadened her contributions to robust mobile robot navigation. Across her body of work, Yu has accumulated nearly 210 citations, reflecting sustained influence on researchers tackling reliability and autonomy challenges in mobile robotics — a domain growing ever more critical as robots venture into increasingly demanding real-world environments.
Research Focus
Key Achievements
Top Papers
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- 4An adaptive particle filter for soft fault compensation of mobile robots17 citations · 2008
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- 6Real-time Detection of Dynamic Obstacle Using Laser Radar11 citations · 2008
- 7Design of dead reckoning system for mobile robot10 citations · 2006
- 8An adaptive particle filter for mobile robot fault diagnosis9 citations · 2006
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- 10Design of distributed control system for mobile robot8 citations · 2005