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BED-BPP: Benchmarking dataset for robotic bin packing problems

delete2023-08-02
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PRE
AI
F
Florian Kagerer *
M
Maximilian Beinhofer
S
Stefan A. Stricker
A
Andreas Nuechter
DOI:10.1177/02783649231193048delete
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摘要

摘要

En 中文
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.
Keyword:
Three-dimensional bin packing
palletizing
competition
benchmarking
dataset

期刊

International Journal of Robotics Research 封面图
International Journal of Robotics Research
IF:
5
论文数:
2.4K
被引数:
1.5W

机构

U
University of Wurzburg
学者数:
2.5W
论文数: 2.0W
被引数: 2.5W
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