<p><i>Remanufacturing has received increasing attention for environmental protection and resource conservation considerations. Disassembly is a crucial step in remanufacturing, is always done manually which is inefficient while robotic disassembly can improve the efficiency of the disassembly. Aiming at the problem of product connector recognition during the robotic disassembly process, this paper analyzes the template matching and feature matching principles based on two-dimensional images. To reduce the computational complexity of traditional template matching, a stepwise search strategy combining coarse and fine is proposed. Based on this a product connector recognition algorithm based on fast template matching and a product connector recognition algorithm based on feature matching is designed. Taking bolts and hexagon nuts as examples, the recognition effects of the two algorithms are compared and analyzed. Experiments show that the product connector recognition algorithm based on template matching and the product connector recognition algorithm based on fast template matching both have a high correct recognition rate for bolt and nut. Experiments also show that the fast template matching algorithm has a lowest running time, and it can be concluded that the stepwise search strategy combining coarse and fine proposed in this paper reduces the running time of matching and improves the efficiency of matching. </i></p>

Two-Dimensional Image Based Product Connector Recognition for Robotic Disassembly in Remanufacturing

Paper Proceedings: https://asmedigitalcollection.asme.org/MSEC/MSEC2021/volume/85062

2021 International Manufacturing Science and Engineering Conference (MSEC2021)

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