Ruiqi Zheng
Papers
1
Total Citations
2
H-Index
1
About
Ruiqi Zheng is a researcher focused on advancing intelligent robotics through machine learning and computer vision, with a particular emphasis on domestic and service robots. Their most notable contribution is a pioneering study on evaluating the cleaning performance of cleaning robots, published in 2022. In this work, Zheng developed a machine learning-based stain recognition model that analyzes key impact factors—such as stain area, color intensity, and moisture level—to assess cleaning effectiveness. The model achieved an impressive precision rate of 95.7% and a recall rate of 85.9%, demonstrating a robust and practical approach to automating performance evaluation. This research addresses a critical gap in robotic cleaning technology, offering a data-driven method to optimize robot functionality and user satisfaction. While Zheng’s work has garnered early citations, its significance lies in laying the groundwork for more intelligent, adaptive cleaning systems. By integrating machine learning with real-world robotic applications, Zheng contributes to the broader field of embodied AI, where robots can perceive and respond to complex environmental cues. Their research holds promise for enhancing the autonomy and reliability of service robots in everyday settings.
Research Focus
Key Achievements
Top Papers
- 1