详情

Multi-robot teaming for inspection of hydraulic structures

项目名称：	Multi-robot teaming for inspection of hydraulic structures
摘要：	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.
状态：	Active
资金：	283390
资助组织：	Office of the Assistant Secretary for Research and Technology
管理组织：	Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS)
项目负责人：	Donnell, Eric T
执行机构：	George Mason University<==>University of Delaware, Newark
主要研究人员：	Lattanzi, David；Head, Monique
开始时间：	20220120
预计完成日期：	20230720
主题领域：	Data and Information Technology；Highways；Vehicles and Equipment