Xintao Yang
Papers
1
Total Citations
138
H-Index
1
About
Xintao Yang is a leading researcher in construction robotics and sustainable waste management, whose work bridges computer vision and autonomous systems to address critical environmental challenges. His most influential contribution, the 2020 paper "Vision-based robotic system for on-site construction and demolition waste sorting and recycling," has garnered 138 citations, establishing a foundational framework for automated waste segregation in the built environment. Yang's research focuses on integrating deep learning algorithms with robotic manipulators to identify, classify, and sort construction debris—such as concrete, wood, and metals—directly at demolition sites, significantly reducing landfill dependency and enabling high-purity material recovery. By developing real-time vision systems that adapt to the chaotic, unstructured conditions of construction sites, he has advanced the practical deployment of circular economy principles in the industry. His work not only demonstrates measurable environmental impact but also sets a benchmark for intelligent, on-site recycling technologies. Yang’s achievements have positioned him as a key innovator at the intersection of robotics, artificial intelligence, and sustainable construction, inspiring further research into autonomous waste valorization and smart infrastructure.
Research Focus
Key Achievements
Top Papers
- 1