Papers
1
Total Citations
3
H-Index
1
About
Yupo Pan is a robotics researcher whose work focuses on the automation of construction processes, particularly through the development of intelligent construction robots. His primary research areas include robotic perception, computer vision for construction, and automated steel bar binding systems. Pan’s most notable contribution is his pioneering work on rebar binding robots, which replace manual labor in standard construction environments. In his highly cited 2022 paper, "Recognition of the rebar binding state based on Bag of Features," he developed a robot prototype and validated a novel visual recognition method that enables robots to assess the quality of rebar binding in real time. This work addresses a critical bottleneck in construction automation, combining computer vision techniques with robotic manipulation to ensure structural integrity. With over 3 citations, his research has already influenced the field of construction robotics, demonstrating practical pathways for deploying robots in hazardous or repetitive tasks. Pan’s achievements highlight his commitment to bridging the gap between laboratory robotics and real-world construction challenges, making him a key figure in the emerging domain of automated building technologies.
Research Focus
Key Achievements
Top Papers
- 1Recognition of the rebar binding state based on Bag of Features3 citations · 2022