Papers
5
Total Citations
73
H-Index
5
About
Pingbo Tang is a leading researcher in construction automation, robotics, and infrastructure informatics. His work focuses on developing advanced sensing and modeling technologies to improve the efficiency, safety, and quality of construction and infrastructure management. A major contribution is his development of a light-weight hybrid LADAR system for "target-focused local workspace modeling," enabling semi-automated, targeted geometric data collection for construction automation (27 citations). He has also advanced bridge inspection by pioneering methods for visualizing laser scanner data to assess structural conditions (6 citations). More recently, Tang has explored the use of social robots to enhance post-occupancy evaluation (POE) engagement, aiming to improve indoor environmental quality for human health and productivity (6 citations). His foundational work on generating point-contact state spaces for curved objects (6 citations) further demonstrates his depth in geometric reasoning. As a key organizer of the 38th ISARC symposium (28 citations), Tang actively shapes the field. With over 70 citations across his most-cited works, his research is pivotal for creating smarter, safer, and more automated built environments.
Research Focus
Key Achievements
Top Papers
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- 3Improving post-occupancy evaluation engagement using social robots6 citations · 2022
- 4Visualizing Laser Scanner Data for Bridge Inspection6 citations · 2010
- 5Generation of Point-contact State Space between Strictly Curved Objects6 citations · 2006