Papers

4

Total Citations

355

H-Index

4

About

Dr. Zeli Wang is a pioneering researcher at the intersection of construction engineering and intelligent robotics, whose work is revolutionizing how the industry handles construction and demolition waste. His primary research focuses on developing autonomous, vision-guided robotic systems for on-site waste sorting and recycling—a critical challenge for sustainable urban development. Wang’s foundational 2018 paper on a construction waste recycling robot for nails and screws, which integrated computer vision and neural networks, has garnered 206 citations and established the blueprint for automated material recovery. He expanded this concept in his highly influential 2020 study on a comprehensive vision-based robotic sorting system (138 citations), demonstrating the feasibility of real-time, on-site recycling. More recently, Wang has pushed the boundaries of the field by exploring multi-robot coordination through cloud and edge computing, and by deploying unmanned aerial vehicles for waste localization, addressing the scalability limitations of single-ground robots. His work directly tackles the pollution and inefficiency plaguing traditional demolition practices, offering a tangible path toward a circular economy in construction.

Research Focus

Key Achievements

4
H-Index
4
Papers
355
Total Citations
89
Avg Citations/Paper
🏆 Most Cited Paper
Construction waste recycling robot for nails and screws: Computer vision technology and neural network approach
206 citations · 2018
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Hong Kong Polytechnic University, East China University of Science and Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago