Sensor-Guided Methods
for Robotic Arc Welding

P. Zhou, M. Xu, H.-Y. Lee, V. Wu, R. Peng and D. Navarro-Alarcon

About the Research

In this project, we are developing adaptive perceptual algorithms for automating welding tasks with robot manipulators. Funding source: Chinese National Engineering Research Centre for Steel Construction (CNERC) under grant BBV8.

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Introduction








Related Papers

  • H.-Y. Lee, P. Zhou, V. Wu, and D. Navarro-Alarcon. A Multi-Sensor Interface to Improve the Teaching and Learning Experience in Arc Welding Training Tasks. (preprint), 2021 [pdf]

  • P. Zhou, R. Peng, M. Xu, V. Wu and D. Navarro-Alarcon. Path Planning with Automatic Seam Extraction over Point Cloud Models for Robotic Arc Welding, IEEE Robotics and Automation Letters (RA-L), vol. 6, no. 3, pp. 5002–5009, 2021. [pdf]

  • R. Peng, D. Navarro-Alarcon, V. Wu, and W Yang. A Point Cloud Based Method for Automatic Groove Detection and Trajectory Planning of Robotic Arc Welding Tasks. IEEE Int. Conf. on Ubiquitous Robots (UR 2020), pp. 380–386, 2020. [pdf]