Project Grant 2337277

Award Date 7/1/23
Completion Date 9/30/24
Dollars Obligated $223K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Claremont, CA 91711, USA
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The National Science Foundation (NSF) Office of Emerging Frontiers and Multidisciplinary Activities awarded a $222,600 Project Grant to Harvey Mudd College under the NSF Directorate for Engineering (CFDA 47.041) program. The project, titled "Collaborative Research: Assistive Intelligence for Cooperative Robot and Inspector Survey of Infrastructure Systems (AI-CRISIS)", will develop and implement a cooperative robot-inspector system with assistive intelligence to enable faster, cheaper, safer, and more consistent bridge inspections. The key products/services to be delivered include:

  1. An optimal screening-to-probing inspection strategy using fast and accurate detection of surface and internal defects in reinforced concrete bridge elements through thermal and visible light imaging.
  2. A causal model of inspectors' task performance to support optimal job design, effective training, and onsite operations.
  3. Adaptive AI algorithms with human inspectors in the loop for rapid adaptation to future work contexts and efficient data analysis.
  4. Spatial correlation of bridge elements to improve the effectiveness and applicability of the adaptive AI.

The methods and technologies developed will be shared with stakeholders, researchers, policymakers, and end users through publications, presentations, field demonstrations, and training. A benchmark dataset of real-world bridge videos, labeled objects, and metadata will also be made publicly available.

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