Ruxuan Zuo
Papers
1
Total Citations
7
H-Index
1
About
Ruxuan Zuo is a rising researcher in the field of robotics and autonomous systems, with a primary focus on adaptive control and trajectory tracking for mobile robots. Her most cited work, "Comparative study of adaptive trajectory tracking controller for four-wheel mobile robot with prescribed-prediction performance" (2024, 7 citations), introduces a novel framework that enhances the precision and reliability of robot navigation under dynamic conditions. By integrating prescribed-performance control with predictive algorithms, Zuo addresses critical challenges in real-time motion planning, ensuring robust tracking even in uncertain environments. This contribution is particularly impactful for applications in warehouse automation, search-and-rescue missions, and autonomous transportation. Though early in her career, Zuo’s work has already garnered attention for its practical relevance and methodological rigor, laying a foundation for future advancements in intelligent vehicle control. Her research bridges theoretical control theory and applied robotics, offering tangible solutions for safer, more efficient autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1