Hui Yi

Papers

Total Citations

H-Index

About

Hui Yi is a researcher in robotics and computer vision, with a focus on object recognition and localization for autonomous systems. Their most cited work, "Object Recognition and Localization Algorithm base on NAO Robot" (2018), addresses a critical challenge in robot vision: the lack of robustness in standard NAO robot algorithms under varying lighting conditions. By developing an improved method for object detection and spatial positioning, Yi’s research enhances robot capabilities in motion planning, obstacle avoidance, object grasping, and multi-robot cooperation. Although the paper has garnered 5 citations, its contribution lies in tackling a practical limitation in humanoid robotics, offering a more reliable foundation for real-world applications. Yi’s work is particularly valuable for students and researchers working with NAO platforms, as it provides a tangible solution to a common technical hurdle. Their research underscores the importance of adaptive vision systems in advancing autonomous robot performance, making it a useful reference for those exploring robust perception in dynamic environments.