Abstract

AbstractAs more and more end-of-life products need to be disposed of, the use of automated equipment to dismantle EOL (end of life) is much more important than before. Because there is more diversity and uncertainty in end-of-life products, processing them with predefined robot programs is an impossible task. All disassembly operations need to be planned in real time. In this paper, a semantic modelling method is proposed. Through depth image and colour image, the three-dimensional parameters of EOL (end of life) products can be obtained in each disassembly operation. Then, the semantic model is matched from the semantic library according to the three-dimensional parameters to create a real-time semantic model. In this way, an optimized disassembly process for robotic disassembly can be created.KeywordsDisassemblyEnd of life productsSemantic net

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