Penggang Pan
Papers
1
Total Citations
2
H-Index
1
About
Penggang Pan is a researcher at the forefront of applying deep learning to construction robotics and structural engineering. His primary research focuses on computer vision for automated building inspection and robotic manipulation, particularly in the domain of curtain wall systems. Pan’s most notable contribution is the development of a dual-flow aggregation network for precise segmentation of curtain wall frames, a critical step enabling accurate robot pose estimation in complex construction environments. This work, published in 2024 and already garnering 2 citations, addresses a key bottleneck in automating high-rise building maintenance and assembly. By bridging the gap between visual perception and robotic control, Pan’s research promises to enhance safety and efficiency in the construction industry. His innovative approach to fusing multi-scale features for robust segmentation under real-world conditions marks a significant step toward fully autonomous construction robots. For students and researchers in robotics and civil engineering, Pan’s work exemplifies how targeted computer vision solutions can unlock practical automation in challenging, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1