%0 Journal Article %1 IJRR2023 %A Kagerer, F. %A Beinhofer, M. %A Stricker, S. %A Nüchter, A. %D 2023 %J The International Journal of Robotics Research %K author imported myown %N 0 %P 02783649231193048 %R 10.1177/02783649231193048 %T BED-BPP: Benchmarking dataset for robotic bin packing problems %U https://robotik.informatik.uni-wuerzburg.de/telematics/download/ijrr2023.pdf %V 0 %X 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.

@article{IJRR2023, 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. }, added-at = {2023-08-02T22:52:09.000+0200}, author = {Kagerer, F. and Beinhofer, M. and Stricker, S. and N{\"u}chter, A.}, biburl = {https://www.bibsonomy.org/bibtex/2e9991d726e037f6051665ece486c7b03/nuechter76}, doi = {10.1177/02783649231193048}, interhash = {6690800a0807e6cdab5233a47094db83}, intrahash = {e9991d726e037f6051665ece486c7b03}, journal = {The International Journal of Robotics Research}, keywords = {author imported myown}, month = {August}, number = 0, pages = 02783649231193048, timestamp = {2024-07-30T17:19:57.000+0200}, title = {BED-BPP: Benchmarking dataset for robotic bin packing problems}, url = {https://robotik.informatik.uni-wuerzburg.de/telematics/download/ijrr2023.pdf}, volume = 0, year = 2023 }