RoboBPP: Benchmarking Robotic Online Bin Packing with Physics-based Simulation Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2512.04415
Physical feasibility in 3D bin packing is a key requirement in modern industrial logistics and robotic automation. With the growing adoption of industrial automation, online bin packing has gained increasing attention. However, inconsistencies in problem settings, test datasets, and evaluation metrics have hindered progress in the field, and there is a lack of a comprehensive benchmarking system. Direct testing on real hardware is costly, and building a realistic simulation environment is also challenging. To address these limitations, we introduce RoboBPP, a benchmarking system designed for robotic online bin packing. RoboBPP integrates a physics-based simulator to assess physical feasibility. In our simulation environment, we introduce a robotic arm and boxes at real-world scales to replicate real industrial packing workflows. By simulating conditions that arise in real industrial applications, we ensure that evaluated algorithms are practically deployable. In addition, prior studies often rely on synthetic datasets whose distributions differ from real-world industrial data. To address this issue, we collect three datasets from real industrial workflows, including assembly-line production, logistics packing, and furniture manufacturing. The benchmark comprises three carefully designed test settings and extends existing evaluation metrics with new metrics for structural stability and operational safety. We design a scoring system and derive a range of insights from the evaluation results. RoboBPP is fully open-source and is equipped with visualization tools and an online leaderboard, providing a reproducible and extensible foundation for future research and industrial applications (https://robot-bin-packing-benchmark.github.io).
Related Topics
- Type
- preprint
- Landing Page
- https://doi.org/10.48550/arxiv.2512.04415
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7108957888
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W7108957888Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2512.04415Digital Object Identifier
- Title
-
RoboBPP: Benchmarking Robotic Online Bin Packing with Physics-based SimulationWork title
- Type
-
preprintOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-12-04Full publication date if available
- Authors
-
Wang Zhou-feng, Zhao Hang, Xu, Juzhan, Zhang Shi-shun, Xiong ZeYu, Hu, Ruizhen, Zhu Chenyang, Xu, KaiList of authors in order
- Landing page
-
https://doi.org/10.48550/arxiv.2512.04415Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.48550/arxiv.2512.04415Direct OA link when available
- Concepts
-
Benchmarking, Benchmark (surveying), Computer science, Visualization, Bin packing problem, Key (lock), Industrial engineering, Replicate, Stability (learning theory), Bin, Industrial robot, Range (aeronautics), Extensibility, Systems engineering, Container (type theory), Scalability, Simulation, Robotics, Robotic arm, Performance indicator, Grippers, Engineering, Pairwise comparison, Data mining, Artificial intelligence, SMT placement equipment, AutomationTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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| abstract_inverted_index.simulator | 93 |
| abstract_inverted_index.stability | 189 |
| abstract_inverted_index.synthetic | 142 |
| abstract_inverted_index.algorithms | 131 |
| abstract_inverted_index.attention. | 30 |
| abstract_inverted_index.conditions | 120 |
| abstract_inverted_index.evaluation | 39, 182, 206 |
| abstract_inverted_index.extensible | 226 |
| abstract_inverted_index.foundation | 227 |
| abstract_inverted_index.increasing | 29 |
| abstract_inverted_index.industrial | 12, 22, 115, 125, 149, 161, 232 |
| abstract_inverted_index.integrates | 90 |
| abstract_inverted_index.real-world | 110, 148 |
| abstract_inverted_index.simulating | 119 |
| abstract_inverted_index.simulation | 68, 100 |
| abstract_inverted_index.structural | 188 |
| abstract_inverted_index.workflows, | 162 |
| abstract_inverted_index.workflows. | 117 |
| abstract_inverted_index.automation, | 23 |
| abstract_inverted_index.automation. | 16 |
| abstract_inverted_index.deployable. | 134 |
| abstract_inverted_index.environment | 69 |
| abstract_inverted_index.feasibility | 1 |
| abstract_inverted_index.open-source | 211 |
| abstract_inverted_index.operational | 191 |
| abstract_inverted_index.practically | 133 |
| abstract_inverted_index.production, | 165 |
| abstract_inverted_index.requirement | 9 |
| abstract_inverted_index.applications | 233 |
| abstract_inverted_index.benchmarking | 55, 81 |
| abstract_inverted_index.challenging. | 72 |
| abstract_inverted_index.environment, | 101 |
| abstract_inverted_index.feasibility. | 97 |
| abstract_inverted_index.leaderboard, | 221 |
| abstract_inverted_index.limitations, | 76 |
| abstract_inverted_index.reproducible | 224 |
| abstract_inverted_index.applications, | 126 |
| abstract_inverted_index.assembly-line | 164 |
| abstract_inverted_index.comprehensive | 54 |
| abstract_inverted_index.distributions | 145 |
| abstract_inverted_index.physics-based | 92 |
| abstract_inverted_index.visualization | 216 |
| abstract_inverted_index.manufacturing. | 170 |
| abstract_inverted_index.inconsistencies | 32 |
| abstract_inverted_index.(https://robot-bin-packing-benchmark.github.io). | 234 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 8 |
| citation_normalized_percentile |