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BED-BPP: Benchmarking dataset for robotic bin packing problems

Florian Kagerer, Maximilian Beinhofer, Stefan A. Stricker, Andreas Nüchter

发表年份
2023
引用次数
9

摘要

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.

关键词

BenchmarkingBin packing problemBinComputer scienceStability (learning theory)SoftwareData miningVariety (cybernetics)Artificial intelligenceAlgorithm

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