Papers

2

Total Citations

7

H-Index

2

About

Xing Qiao is a researcher specializing in the mathematical modeling and analysis of robotic safety and reliability systems. Their work sits at the intersection of applied mathematics and engineering, focusing on the rigorous theoretical underpinnings of repairable systems containing redundant robotic components. Qiao's research makes notable contributions to the field by employing spectral analysis and operator theory to examine the stability and reliability of complex robotic configurations, addressing critical questions about the unique existence of solutions in repairable system models. Among their most recognized contributions, Qiao's 2019 paper on the reliability and numerical analysis of robot safety systems has garnered 5 citations, while their earlier 2014 work on two-redundant-robot systems established foundational modeling approaches that continue to inform subsequent research. The latter study demonstrated particular depth by combining system operator spectrum distribution analysis with stability proofs — a methodologically rigorous approach that bridges pure mathematical analysis with practical engineering concerns. Though working within a specialized niche, Qiao's contributions provide essential theoretical frameworks for ensuring the dependability of robotic safety systems, making their work valuable to researchers and engineers concerned with fault-tolerant design and system reliability in automated environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Reliability and Numerical Analysis of a Robot Safety System
5 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Harbin Engineering University, Daqing Normal University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago