Abstract:Product Disassembly has become an area of active research as it sup- ports sustainable development by aiding effective end-of-life (EOL) stage strategies like reuse, re-manufacturing, recycling, etc. In this work, we propose a new approach, 3D-PDNet, that can utilize 3D data from CAD assembly models to generate a feasible disassembly sequence. Our approach uses Graph-based learning to process the graph representa- tion of CAD models. Currently, the available 3D CAD model datasets lack ground truth disassembly … Show more
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