Papers

6

Total Citations

125

H-Index

4

About

Jingjing Cui is a leading researcher in mobile robotics, specializing in advanced control systems, reliability engineering, and optimization algorithms. Her work focuses on enhancing the robustness and precision of mobile robots operating in challenging, unstructured environments. Cui’s most impactful contribution is the development of an enhanced Active Disturbance Rejection Control (ADRC) method, which she integrated with a modified Pigeon-Inspired Optimization algorithm for a self-developed mobile robot’s attitude deformation system—a paper that has garnered 71 citations. She has also made significant strides in failure analysis, proposing an enhanced GO methodology to support failure mode, effects, and criticality analysis (23 citations), and applying combinatorial optimization to industrial robot hand-eye calibration (20 citations). Her research on multi-legged robots introduced a multiple Extended State Observer (ESO)-based control strategy to address disturbances and failures, while her novel pose deformation system design for mobile robots, validated through Bond Graph and Simulink simulations, demonstrates her commitment to practical, reliable solutions. With a growing citation impact, Cui’s work is essential for students and researchers seeking to advance robot control, reliability, and optimization in real-world applications.

Research Focus

Key Achievements

4
H-Index
6
Papers
125
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Mobile Robot ADRC With an Automatic Parameter Tuning Mechanism via Modified Pigeon-Inspired Optimization
71 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Beihang University, Commercial Aircraft Corporation of China (China)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago