Haonan Zhu
Papers
1
Total Citations
5
H-Index
1
About
Haonan Zhu is a researcher in robotics and computer vision, with a focus on enhancing autonomous systems through robust perception algorithms. Their major contribution lies in developing object recognition and localization techniques for humanoid robots, particularly addressing the challenge of lighting variability that degrades standard vision systems. In their notable work, "Object Recognition and Localization Algorithm base on NAO Robot" (2018), Zhu proposed a more resilient approach to object detection and spatial positioning, directly improving robot motion planning, obstacle avoidance, and multi-robot cooperation. This research has garnered 5 citations, reflecting its relevance to practitioners seeking to deploy NAO robots in dynamic, real-world environments. Zhu’s work underscores a commitment to bridging the gap between theoretical vision algorithms and practical robotic applications, making their contributions valuable for students and researchers exploring sensor-based autonomy.
Research Focus
Key Achievements
Top Papers
- 1Object Recognition and Localization Algorithm base on NAO Robot5 citations · 2018