Yichang Wang
Papers
1
Total Citations
10
H-Index
1
About
Yichang Wang is a leading researcher in the fields of construction robotics, building information modeling (BIM), and infrastructure automation. Their most notable contribution is the development of an automated path-planning strategy for robotic inspection of underground utilities, published in 2025, which has already garnered 10 citations—a strong early indicator of its impact. This work integrates BIM with robotic navigation, enabling efficient and precise inspection of buried infrastructure, a critical advancement for aging utility networks. Wang’s research addresses key challenges in construction automation, such as real-time data integration and obstacle avoidance, bridging the gap between digital models and physical robotic operations. Their approach has been recognized for its potential to reduce manual inspection risks and improve asset management. With a growing citation record, Wang is establishing themselves as a rising authority in smart construction and robotic systems, contributing to safer, more sustainable infrastructure maintenance. Their work is particularly relevant for students and researchers interested in the intersection of BIM, robotics, and civil engineering.
Research Focus
Key Achievements
Top Papers
- 1