Delivering Maintenance and Repair Actions via Automated/Robotic Systems

Gong, Jie; Liang, Xiao; Bandelt, Matthew J

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Delivering Maintenance and Repair Actions via Automated/Robotic Systems

2023-12-31
By Gong, Jie ; Liang, Xiao ; Bandelt, Matthew J

File Language:

English

Details

Creators:

Gong, Jie ; Liang, Xiao ; Bandelt, Matthew J
Corporate Creators:

Rutgers University. Center for Advanced Infrastructure and Transportation
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:
Publication/ Report Number:

CAIT-UTC-REG9
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report 9/01/2018 - 12/31/2023
Corporate Publisher:

Center for Advanced Infrastructure and Transportation (CAIT) (UTC)
Abstract:

This study explores the emerging role of robotics in infrastructure inspection and repair. Through a multidisciplinary workshop and a series of proof-of-concept field studies, we evaluated the capabilities of advanced robotic platforms-particularly quadruped systems like Boston Dynamics' SPOT-and AI-powered remote sensing tools. Results showed strong potential for improving inspection accuracy, safety, and efficiency. Quadruped robots demonstrated excellent mobility in hazardous environments, while AI integration enhanced data analysis and defect detection. These findings highlight the promise of robotics in infrastructure management and the growing impact of AI in enabling autonomous, intelligent inspection systems.
Format:

PDF
Funding:

69A3551847102
Download URL:

https://rosap.ntl.bts.gov/view/dot/82864/dot_82864_DS1.pdf
File Type:

[PDF - 987.68 KB]
Collection(s):

Artificial Intelligence Deployment Center of Excellence (AI COE) ; University Transportation Centers
Main Document Checksum:

urn:sha-512:7e642ddecb6f871adf4dce8dbfc484870518a3fbd27c3d882a74dc479d51794236a15a69c71bb4fd9c2e4747ded1031aed2a6afb9963e13893b93e214fe10db7

File Language:

English

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