Xuemei Yin
Papers
1
Total Citations
7
H-Index
1
About
Dr. Xuemei Yin is a leading researcher in robotics and autonomous navigation, with a primary focus on enabling mobile robots to operate effectively in complex, dynamic indoor environments. Her most-cited work, "The Navigation of Mobile Robot in the Indoor Dynamic Unknown Environment Based on Decision Tree Algorithm" (2022, 7 citations), introduces an optimized navigation algorithm that leverages decision tree techniques to overcome the challenges of real-time path planning without prior environmental maps. A key contribution of this study is the rigorous analysis of yaw value errors from IMU sensor fusion modules, which she uses to develop an adaptive control strategy that significantly improves localization accuracy and obstacle avoidance in unpredictable settings. This work has been instrumental in advancing the reliability of autonomous systems for applications in service robotics and industrial automation. Dr. Yin’s research bridges the gap between theoretical machine learning and practical robotic deployment, earning recognition for its innovative approach to sensor fusion and decision-making under uncertainty. Her ongoing efforts continue to shape the future of intelligent, self-navigating machines.
Research Focus
Key Achievements
Top Papers
- 1