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arXiv · 1809.10470

Object Detection and Motion Planning for Automated Welding of Tubular Joints

Syeda Mariam Ahmed·Yan Zhi Tan·Gim Hee Lee·Chee Meng Chew·Chee Khiang Pang
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Abstract

Automatic welding of tubular TKY joints is an important and challenging task for the marine and offshore industry. In this paper, a framework for tubular joint detection and motion planning is proposed. The pose of the real tubular joint is detected using RGB-D sensors, which is used to obtain a real-to-virtual mapping for positioning the workpiece in a virtual environment. For motion planning, a Bi-directional Transition based Rapidly exploring Random Tree (BiTRRT) algorithm is used to generate trajectories for reaching the desired goals. The complete framework is verified with experiments, and the results show that the robot welding torch is able to transit without collision to desired goals which are close to the tubular joint.

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Syeda Mariam Ahmed, Yan Zhi Tan, Gim Hee Lee, Chee Meng Chew, Chee Khiang Pang. 2018-09-27. Object Detection and Motion Planning for Automated Welding of Tubular Joints. https://arxiv.org/abs/1809.10470

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