SDF-Pack: Towards Compact Bin Packing with Signed-Distance-Field Minimization

Pan, Jia-Hui; Hui, Ka-Hei; Gao, Xiaojie; Zhu, Shize; Liu, Yun-Hui; Heng, Pheng-Ann; Fu, Chi-Wing

doi:10.1109/iros55552.2023.10341940

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023

DOI: 10.1109/iros55552.2023.10341940

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SDF-Pack: Towards Compact Bin Packing with Signed-Distance-Field Minimization

Jia-Hui Pan,

Ka-Hei Hui,

Xiaojie Gao

et al.

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2024

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Cited by 2 publications

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PPN-Pack: Placement Proposal Network for Efficient Robotic Bin Packing

Pan,

Gao,

Hui

et al. 2024

IEEE Robot. Autom. Lett.

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PPN-Pack: Placement Proposal Network for Efficient Robotic Bin Packing

Pan,

Gao,

Hui

et al. 2024

IEEE Robot. Autom. Lett.

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Comprehensive Review of Robotized Freight Packing

Pantoja-Benavides,

Giraldo,

Montes

et al. 2024

Logistics

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Background: This review addresses the emerging field of automated packing cells, which lies at the intersection of robotics and packing problems. Integrating these two fields is critical for optimizing logistics and e-commerce operations. The current literature focuses on packing problems or specific robotic applications without addressing their integration. Methods: To bridge this gap, we conducted a comprehensive review of 46 relevant studies, analyzing various dimensions, including the components of robotic packing cells, the types of packing problems, the solution approaches, and performance comparisons. Results: Our review reveals a significant trend towards addressing online packing problems, which reflects the dynamic nature of logistics operations where item information is often incomplete. We also identify several research gaps, such as the need for standardized terminologies, comprehensive methodologies, and the consideration of real-world constraints in robotic algorithms. Conclusions: This review uniquely integrates insights from robotics and packing problems, providing a structured framework for future research. It highlights the importance of considering practical robotic constraints. It proposes a research structure that enhances the reproducibility and comparability of results in real-world scenarios. By doing so, we aim to guide future research efforts and facilitate the development of more robust and practical automated packing systems.

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SDF-Pack: Towards Compact Bin Packing with Signed-Distance-Field Minimization

Cited by 2 publications

References 20 publications

PPN-Pack: Placement Proposal Network for Efficient Robotic Bin Packing

PPN-Pack: Placement Proposal Network for Efficient Robotic Bin Packing

Comprehensive Review of Robotized Freight Packing

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