Chapter
Mar 18, 2024

Unmanned Ground Vehicle and Robotic Arm Integration for Automated Welding

Publication: Construction Research Congress 2024

ABSTRACT

Construction projects extensively use steel. Welding safety and quality concerns are vital since they are mainly used as structural components. By 2027, the welding industry will be short of 360,000 welders, despite its importance. The labor shortage and the need for consistent and efficient welding are strong drivers for developing an automated welding system. This paper presents the development of a mobile robotic welding system by integrating an unmanned ground vehicle (UGV) with visual sensors, a robotic arm, and a welding machine. This integrated robot can navigate to the welding location while avoiding a collision. It can detect welding joints automatically using a camera through deep learning algorithms. The robotic arm can move along the joint while scanning the joint in 3D using a line-laser scanner. Finally, it can perform welding along the 3D joint captured by the laser scanner. The results show that the integrated robot can reach the goal position within the margin of error and demonstrate the consistency and accuracy of welding.

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REFERENCES

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Fan, J., F. Jing, L. Yang, L. Teng, and M. Tan. 2019. “A Precise Initial Weld Point Guiding Method of Micro-Gap Weld Based on Structured Light Vision Sensor.” IEEE Sens J, 19 (1): 322–331. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/JSEN.2018.2876144.
Lee, D. 2023a. The recorded video of position and orientation adjustment of UGV for automated welding using MQTT. https://youtube.com/shorts/373SqFG7k2I.
Lee, D. 2023b. The recorded screen captured video of position and orientation adjustment of UGV for automated welding using MQTT. https://youtu.be/fW04MWVXFmI.
Lee, D., and K. Han. 2023. “Autonomous Navigation with Collision Avoidance and Position Adjustment for a Robotic Welding System.” 2023 ASCE International Conference on Computing in Civil Engineering (i3CE 2023). Corvallis, Oregon.
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Go to Construction Research Congress 2024
Construction Research Congress 2024
Pages: 885 - 892

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Published online: Mar 18, 2024

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Doyun Lee, Ph.D. [email protected]
1Postdoctoral Research Fellow, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC. ORCID: https://orcid.org/0000-0002-0976-2488. Email: [email protected]
Kevin Han, Ph.D. [email protected]
2Associate Professor, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC. ORCID: https://orcid.org/0000-0002-2995-8381. Email: [email protected]

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