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contributor authorDoyun Lee
contributor authorKevin Han
date accessioned2025-08-17T22:41:08Z
date available2025-08-17T22:41:08Z
date copyright5/1/2025 12:00:00 AM
date issued2025
identifier otherJCEMD4.COENG-16053.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4307295
description abstractIn the US, the construction industry uses 40 million tons of steel annually, highlighting welding’s crucial role in safety and quality. However, problems with attracting young welders and addressing quality issues leading to rework persist. These issues underscore the necessity of developing an automated welding robot that can provide consistent quality welding. This paper presents a novel concept for a mobile robotic welding system by outlining a comprehensive system pipeline. This robot has an integrated unmanned ground vehicle (UGV) to facilitate seamless navigation across construction sites. Specifically, the paper describes a self-developed system capable of executing tasks such as joint detection, initial point alignment, path planning, tracking, and adjustment. The paper further explores the integration process of the UGV, encompassing mapping, navigation, and collision avoidance strategies. The effectiveness and precision of the proposed approach are validated through successful automated robotic welding tests, reinforcing its potential in real-world applications.
publisherAmerican Society of Civil Engineers
titleAutonomous Navigation and Positioning of a Real-Time and Automated Mobile Robotic Welding System
typeJournal Article
journal volume151
journal issue5
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/JCEMD4.COENG-16053
journal fristpage04025033-1
journal lastpage04025033-15
page15
treeJournal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 005
contenttypeFulltext


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