Jia Min Liew

Autodesk (United States)

Papers

2

Total Citations

43

H-Index

2

About

Jia Min Liew is a leading researcher at the intersection of construction automation, robotics, and digital twin technologies. Her work focuses on revolutionizing how autonomous systems navigate and operate within the built environment, particularly by leveraging Building Information Modeling (BIM) to replace traditional, labor-intensive mapping methods. Liew’s major contribution is pioneering a BIM-based localization framework for mobile robots, a concept demonstrated in her highly cited real-world case study (11 citations). This approach reduces the high labor and computational costs of conventional point cloud mapping by using as-planned BIM data for robot navigation. Her research, presented at the 39th International Symposium on Automation and Robotics in Construction (32 citations), has been instrumental in bridging the gap between digital design and physical construction execution. By enabling robots to understand their environment through existing architectural models, Liew is paving the way for more efficient, cost-effective, and intelligent automation on construction sites. Her work represents a critical step toward fully autonomous construction workflows, making her a key figure in the future of AEC robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
43
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Proceedings of the 39th International Symposium on Automation and Robotics in Construction
32 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 100
🏛 Institutions: Autodesk (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago