Yuyi Chu
Papers
2
Total Citations
14
H-Index
2
About
Yuyi Chu is a robotics researcher whose work focuses on autonomous navigation and intelligent vehicle handling systems. Their key research areas include mobile robot auto-docking, sensor-based positioning, and parking robotics. Chu’s most notable contribution is a novel sectional auto-docking charging method for mobile robots, published in 2019, which has garnered 11 citations. This method cleverly divides the docking process into three distinct phases—wall following, coarse positioning, and accurate positioning—using infrared and ultrasonic sensors to guide the robot reliably to its charging station. The work addresses a practical challenge in autonomous robotics: ensuring robots can self-sustain without human intervention. In 2021, Chu extended their expertise to vehicle pose estimation for clamping parking robots, proposing a cost-effective system using pressure sensor arrays as an alternative to expensive laser scanners. While this paper has 3 citations, it demonstrates Chu’s commitment to developing accessible, real-world solutions for automated parking systems. Their research bridges the gap between theoretical robotics and practical deployment, making autonomous systems more reliable and affordable.
Research Focus
Key Achievements
Top Papers
- 1A Sectional Auto-docking Charging Control Method for the Mobile Robot11 citations · 2019
- 2