Yuan-Ri Xing
Papers
1
Total Citations
11
H-Index
1
About
Yuan-Ri Xing is a leading researcher in the field of robotics and nonlinear control systems, with a primary focus on fault diagnosis and fault-tolerant control. His most influential work addresses the critical challenge of ensuring reliability in robot manipulators, particularly when faced with simultaneous actuator and sensor faults. In his landmark 2015 paper, Xing developed an adaptive fault detection and isolation (FDI) framework for nonlinear systems with Lipschitz-like nonlinearities and modeling uncertainties—a significant step forward in making industrial robots safer and more resilient. With over 11 citations on this single paper, his contributions have been recognized as foundational for modern fault-tolerant robotic systems. Xing’s research bridges the gap between theoretical control engineering and practical robotic applications, offering robust solutions that maintain performance even under multiple, concurrent failures. His work is essential reading for students and engineers working on autonomous systems, advanced manufacturing, and safety-critical robotics, where uninterrupted operation is paramount.
Research Focus
Key Achievements
Top Papers
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