Papers
2
Total Citations
7
H-Index
2
About
Dr. Yuxin Cao is a leading figure in advanced robotics and control systems, with a primary focus on the robust manipulation and precise localization of modular robotic systems. Her most impactful work introduces a groundbreaking **tangent excitation function (tansig) type nonlinear extended state observer (NLESO)-based integral terminal sliding mode control**. This innovation directly addresses the critical trade-off between system chattering and convergence speed in conventional sliding mode control, offering a superior solution for trajectory tracking under uncertain disturbances. The theoretical rigor of this approach has been validated through experimental verification on modular robot manipulators. Complementing this, Dr. Cao has also made significant contributions to multi-sensor data fusion, developing a **distributed fusion correction strategy for stable mobile target positioning** using heterogeneous data. With a growing citation count reflecting the practical relevance of her work, Dr. Cao’s research is essential reading for engineers and researchers tackling the challenges of high-precision control and autonomous navigation in complex, uncertain environments.
Research Focus
Key Achievements
Top Papers
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