BED-BPP: Benchmarking dataset for robotic bin packing problems

Abstract

Many algorithms that were developed for solving three-dimensional bin packing problems use generic data for either experiments or evaluation. However, none of these datasets became accepted for benchmarking 3D bin packing algorithms throughout the community. To close this gap, this paper presents the benchmarking dataset for robotic bin packing problems (BED-BPP), which is based on realistic data. We show the variety of the dataset by elaborating an n-gram analysis. Besides, we propose an evaluation function, which contains a stability check that uses rigid body simulation. We demonstrated the application of our dataset on four different approaches, which we integrated in our software environment.

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“…There are a lack of datasets that are accepted by the community for benchmarking 3DBPP algorithms in the present day; thus, a benchmark dataset for robotic bin packing, which is based on realistic data, is presented in [105]. Two heuristic approaches for solving the online robotic 3DBPP in an automated sorting center are also presented in [106], one for bench-marking and one for real-time deployment.…”