BED-BPP:机器人装箱问题的基准数据集

IF 7.5 1区计算机科学 Q1 ROBOTICS

International Journal of Robotics Research Pub Date : 2023-08-02 DOI:10.1177/02783649231193048

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

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引用次数: 0

摘要

许多为解决三维装箱问题而开发的算法使用通用数据进行实验或评估。然而，这些数据集都没有被整个社区接受用于基准测试3D装箱算法。为了缩小这一差距，本文提出了基于实际数据的机器人装箱问题基准数据集（BED-BPP）。我们通过详细的n-gram分析来展示数据集的多样性。此外，我们提出了一个评估函数，其中包含使用刚体模拟的稳定性检查。我们展示了数据集在四种不同方法上的应用，并将其集成到软件环境中。

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BED-BPP: Benchmarking dataset for robotic bin packing problems

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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来源期刊

International Journal of Robotics Research 工程技术-机器人学

CiteScore

22.20

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： The International Journal of Robotics Research (IJRR) has been a leading peer-reviewed publication in the field for over two decades. It holds the distinction of being the first scholarly journal dedicated to robotics research. IJRR presents cutting-edge and thought-provoking original research papers, articles, and reviews that delve into groundbreaking trends, technical advancements, and theoretical developments in robotics. Renowned scholars and practitioners contribute to its content, offering their expertise and insights. This journal covers a wide range of topics, going beyond narrow technical advancements to encompass various aspects of robotics. The primary aim of IJRR is to publish work that has lasting value for the scientific and technological advancement of the field. Only original, robust, and practical research that can serve as a foundation for further progress is considered for publication. The focus is on producing content that will remain valuable and relevant over time. In summary, IJRR stands as a prestigious publication that drives innovation and knowledge in robotics research.