mlsanityData to 7 Oct 2026

Towards Packaging Unit Detection for Automated Palletizing Tasks

arXiv 2308.06306 ↗First posted 11 Aug 2023cs.CV eess.IVcited by 0

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Abstract (arXiv)

For various automated palletizing tasks, the detection of packaging units is a crucial step preceding the actual handling of the packaging units by an industrial robot. We propose an approach to this challenging problem that is fully trained on synthetically generated data and can be robustly applied to arbitrary real world packaging units without further training or setup effort. The proposed approach is able to handle sparse and low quality sensor data, can exploit prior knowledge if available and generalizes well to a wide range of products and application scenarios. To demonstrate the practical use of our approach, we conduct an extensive evaluation on real-world data with a wide range of different retail products. Further, we integrated our approach in a lab demonstrator and a commercial solution will be marketed through an industrial partner.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 21 of its 38 references that are in the map. First posted on arXiv 11 Aug 2023.

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21 of 38 references.

References · 21

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9 more
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