CIAM-UTC-REG51
Research Team
PI: David Lattanzi, George Mason University
Co-PI: Monique Head, University of Delaware
Funding Sources
George Mason University Federal Share — $78,759
University of Delaware Federal Share — $70,848
George Mason University Match Share — $78,759
University of Delaware Match Share — $70,847
Total Project Cost — $299,213
Agency ID or Contract Number
69A3551847103
Start and End Dates
01/20/2022 — 07/20/2023
Project Description
The objective of the proposed research project is to advance the state of the art in monitoring hydraulic structures through the development of an integrated multi-robot inspection framework. This framework is designed to use a team of robots that collect assessment information above and below the water surface separately. Each data source is integrated into a unified digital twin model of the structural component through multi-view computer vision methods. The complete set of information from the robot team is then assessed through machine learning and computer vision methods that provide automated and quantitative assessment data. Analyzing the complete set of information within the digital twin allows for automated, element-level bridge inspection and holistic assessment of the complete hydraulic structure.
Specific objectives of the proposed project include:
• An evaluation of existing robotic and sensor technologies in the context of multi-robot inspection teams
• 3D computer vision methods for integrating multi-robot information into a comprehensive digital twin model
• Machine learning methods designed to automatically assess integrated twin information
• Computational and mechanistic approaches for directly associating all analyses with bridge inspection and asset management standards.