Zhuangzhuang Chen
Papers
3
Total Citations
33
H-Index
3
About
Zhuangzhuang Chen is a robotics researcher whose work focuses on collaborative air-ground robotic systems, terrain mapping, and autonomous navigation under limited human intervention. Chen’s most significant contribution is the development of a **Diversity-Sensitive Generative Adversarial Network (GAN)** for large-scale terrain mapping, enabling ground robots to plan globally optimal paths using aerial images from UAVs without relying on historical human supervision. This work, published in 2020, has garnered **23 citations** and addresses a critical challenge in deploying robotic systems in novel, dynamic environments. Chen also introduced an **edge-enabled SLAM solution** using projected depth image information (2019, 7 citations) and a **GAN-based active terrain mapping** framework for collaborative air-ground systems (2019, 3 citations), both of which advance the integration of UAVs and UGVs for smart city applications. By reducing the need for human oversight in mapping and navigation, Chen’s research paves the way for more autonomous and resilient robotic teams in real-world field operations.
Research Focus
Key Achievements
Top Papers
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