Abstract
This study aims to develop and evaluate Bridge Inspection Robot Deployment Systems (BIRDS) that support automated bridge inspection. BIRDS include uncrewed aerial vehicles (UAVs), structural crawlers, and/or their combination. A particular type of the BIRDS, which is a hybrid flying and traversing system called BridgeBot, is designed to aid in the inspection of steel and concrete girder bridges. BridgeBot has evolved in four prototypes (I-IV) for improved structural, mechanical, electronic, and control systems over the past five years. The first two prototypes built in Phases I and II were tested in laboratory to understand the feasibility of hybrid flying and traversing around a simulated bridge girder. The last two prototypes produced in Phases III and IV were evaluated for components and system performance under indoor and outdoor conditions. Prototypes III and IV can also launch off a palm-sized crawler to inspect difficult-to-reach areas for defects such as steel weld cracks and bolt/rivet corrosion. Through extensive tests in real-world environments, the BridgeBot has demonstrated superior performance to commercial drones in stability under gusty winds, data consistency under illumination changes, and operation time under limited battery power. By integrating crawler launching into UAV flying and traversing functions, the BridgeBot equipped with remote sensing and nondestructive testing capabilities can assist in both global visual inspection and local structural assessment efficiently, safely, reliably, and cost-effectively. The added anti-collision mechanism and water landing capability of the BridgeBot reduce operation risk during inspections.
Recommended Citation
Chen, Genda; Nguyen, Son; Reven, Alec; and Shang, Bo, "Final Report - Bridge Inspection Robot Deployment Systems (BIRDS)" (2024). Project AS-4. 1.
https://scholarsmine.mst.edu/project_as-4/1
Department(s)
Civil, Architectural and Environmental Engineering
Research Center/Lab(s)
INSPIRE - University Transportation Center
Sponsor(s)
Office of the Assistant Secretary for Research and Technology U.S. Department of Transportation 1200 New Jersey Avenue, SE Washington, DC 20590
Keywords and Phrases
Robot, bridge inspection, unmanned, hybrid
Report Number
INSPIRE-024
Document Type
Technical Report
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2025 Missouri University of Science and Technology, All rights reserved.
Publication Date
September 30, 2024
Comments
Principal Investigator: Genda Chen
Grant #: USDOT # 69A3551747126
Grant Period: 11/30/2016 - 09/30/2024
Project Period: 04/01/2019 - 09/30/2024
This investigation was conducted under the auspices of the INSPIRE University Transportation Center.