Zefeng Ye

Chinese University of Hong Kong

Papers

2

Total Citations

34

H-Index

2

About

Zefeng Ye is at the forefront of construction robotics, specializing in autonomous systems for finishing tasks such as painting and plastering. His work directly addresses critical labor shortages and quality inconsistencies in the construction industry. Ye's major contributions include the development of a novel painting robot that integrates building information modeling (BIM)-based 3D reconstruction with coverage planning, enabling fully automatic interior wall painting. This system, detailed in his highly cited 2022 paper (18 citations), represents a significant leap from manual to robotic finishing. More recently, Ye introduced the "Puttybot" (2024, 16 citations), a sensorized robot designed to autonomously plaster and rectify defects in transition areas—a challenge that previous robots failed to solve. By equipping the robot with advanced sensing and control, Ye has pushed the boundaries of what finishing robots can achieve in terms of precision and defect correction. His work is not only technically innovative but also practical, offering scalable solutions for real-world construction sites. With a growing citation impact, Zefeng Ye is establishing himself as a key innovator in the automation of construction finishing tasks.

Research Focus

Key Achievements

2
H-Index
2
Papers
34
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Building information modeling‐based 3D reconstruction and coverage planning enabled automatic painting of interior walls using a novel painting robot in construction
18 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Chinese University of Hong Kong

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago