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.
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) [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]