Papers
1
Total Citations
4
H-Index
1
About
Zhou Yi is a researcher in service robotics, with a focus on low-cost, practical localization solutions for robots operating in human-centric environments. His work addresses a critical challenge in robotics: ensuring reliable navigation despite the limitations of inexpensive sensors. His most cited paper, "A new sensor fusion framework to deal with false detections for low-cost service robot localization" (2013, 4 citations), introduces a sensor fusion framework that mitigates the impact of false detections—a common problem in landmark-based localization using low-cost color cameras, especially under poor lighting or cluttered backgrounds. This contribution is significant for making service robots more affordable and robust in real-world settings. While his citation count is modest, Zhou Yi's work represents a foundational step in bridging the gap between cost-effective hardware and dependable autonomous navigation, a key concern for the widespread adoption of service robots in everyday life.
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Top Papers
- 1