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PFI-TT: Autonomous Robotic Systems for Bridge Inspection and Evaluation

PFI-TT: Autonomous Robotic Systems for Bridge Inspection and Evaluation
PFI-TT:用于桥梁检查和评估的自主机器人系统
批准号:
1919127
负责人:
Hung La
金额:
$25.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-08-01 至 2024-07-31

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中文摘要
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英文摘要
The broader impact/commercial potential of this Partnerships for Innovation - Technology Translation (PFI-TT) project is to significantly improve the structural health inspection and monitoring of civil infrastructures (bridges, tunnels, dams, etc.) by using automated and non-destructive inspection robots. More than 35% of the 600,000 bridges in the U.S. have been subject to extreme deterioration due to aging, various mechanical and weather conditions, inadequate maintenance, and deficiencies in inspection and evaluation. The cost of inspecting and repairing deteriorating highway bridges in the U.S. alone is estimated at more than $140 billion. Currently, bridges are inspected manually by using visual inspection, chain drag, and non-destructive evaluation (NDE) techniques. However, manual inspection techniques are too slow, labor intensive, and create traffic congestion, leading to demand for efficient, cost-effective, and safe inspection and evaluation. The proposed innovation through new NDE robotic development will bridge the gap between these approaches, allowing inspectors to assess bridge conditions in a timely manner. The project is expected to, for the first time, enable widespread use of advanced robotic technologies across more than 600,000 bridges in the U.S. and will also expand to the international civil infrastructure inspection market. The proposed project will advance the development of bridge inspection robots to automate the NDE data collection process and filter NDE data to enable accurate and reliable assessment of a bridge's condition. Research objectives include: development of hardware and software for NDE sensor-robot integration, non-contact acoustic array for fast inspections, NDE data processing algorithms for automated inspection and evaluation, and three-dimensional data visualization for seamless assessment of a bridge deck's condition. Extensive tests and deployment of the robotic platforms on bridges and other civil infrastructures will be conducted. If successful, the resulting integrated prototype will allow fast, accurate detection and evaluation of bridge conditions and will create a standard tool to enable wide and efficient use of NDE technologies to inspect other infrastructure. The project is expected to represent a major advancement within civil engineering and infrastructure maintenance.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(25)
专著(0)
科研奖励(0)
会议论文
DOI: 10.12783/shm2021/36335
发表时间: 2022-03
期刊: Proceedings of the 13th International Workshop on Structural Health Monitoring
影响因子: --
作者: [Habib Ahmed;H. La]
通讯作者: Habib Ahmed;H. La
Deep Reinforcement Learning for Robotic Manipulation Tasks using a Genetic Algorithm-based Function Optimizer
使用基于遗传算法的函数优化器进行机器人操作任务的深度强化学习
DOI: --
发表时间: 2023
期刊: Encyclopedia with semantic computing and robotic intelligence
影响因子: --
作者: [Sehgal, Adarsh, Ward, Nicholas, La, Hung Manh, Louis, Sushil]
通讯作者: Louis, Sushil
DOI: 10.1109/iros47612.2022.9981325
发表时间: 2022-10
期刊: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
影响因子: --
作者: [Habib Ahmed;S. Nguyen;D. La;C. Le;Hung M. La]
通讯作者: Habib Ahmed;S. Nguyen;D. La;C. Le;Hung M. La
Flying-Climbing Mobile Robot for Steel Bridge Inspection
钢桥检测飞爬式移动机器人
DOI: 10.1109/ssrr53300.2021.9597676
发表时间: 2021
期刊: and Rescue Robotics (SSRR
影响因子: --
作者: [Pham, Anh Q., La, Anh T., Chang, Ethan, La, Hung M.]
通讯作者: La, Hung M.
18
    CAREER: Less Obstructive Vital Evaluation-inspection Robots for Bridges
    I-Corps: Advanced 3D Software for Ground Penetrating Radars
    I-Corps Teams: Development and Commercialization of Bridge Inspection Robotic Systems
    I-Corps Teams: Drone and Robotic Systems for Civil Infrastructure Inspection and Environmental Monitoring
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