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A Robust and Reliable Climbing Robot for Steel Structure Inspection

Anh Q. Pham, Cadence Motley, Son Thanh Nguyen, Hung Manh La

Year
2022
Citations
12

Abstract

This paper presents a new, robust and reliable robot capable of carrying heavy equipment loads without sacrificing mobility that can improve the safety and detail of steel inspections in difficult access areas. In addition, the robot functions with an embedded NORTEC 600, eddy current sensor, and a GoPro camera that allows it to conduct nondestructive evaluation and collect high-resolution imagery data of steel structures. The data is processed into a heatmap for quick and easy interpretation by the user. In order to verify the robot’s designed capabilities, a set of mechanical analyses were performed to quantify the designed robot’s limits and failure mechanics. The application of our robot would increase the safety of an inspector by reducing the frequency they would need to hang underneath a bridge or travel along a narrow section. Demonstration of the robot deployments can be seen in this link: https://youtu.be/8d78d7CWXYk

Keywords

RobotComputer scienceNondestructive testingBridge (graph theory)Mobile robotEngineeringSimulationArtificial intelligence

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