Russell, D., Xu, Z., Roa, M. A. et al. (1 more author) (Accepted: 2026) Pack it in: Packing into Partially Filled Containers Through Contact. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA). 2026 IEEE International Conference on Robotics and Automation, 01-05 Jun 2026, Vienna, Austria. IEEE. (In Press)
Abstract
The automation of warehouse operations is crucial for improving productivity and reducing human exposure to hazardous environments. One operation frequently performed in warehouses is bin-packing where items need to be placed into containers, either for delivery to a customer, or for temporary storage in the warehouse. Whilst prior bin-packing works have largely been focused on packing items into empty containers and have adopted collision-free strategies, it is often the case that containers will already be partially filled with items, often in suboptimal arrangements due to transportation about a warehouse. This paper presents a contact-aware packing approach that exploits purposeful interactions with previously placed objects to create free space and enable successful placement of new items. This is achieved by using a contact-based multi-object trajectory optimizer within a model predictive controller, integrated with a physics-aware perception system that estimates object poses even during inevitable occlusions, and a method that suggests physically-feasible locations to place the object inside the container.
Metadata
| Item Type: | Proceedings Paper |
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| Copyright, Publisher and Additional Information: | This is an author produced version of a proceedings paper accepted for publication in the Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), made available via the University of Leeds Research Outputs Policy under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
| Funding Information: | Funder Grant number EPSRC Accounts Payable EP/V052659/1 |
| Date Deposited: | 12 Mar 2026 16:23 |
| Last Modified: | 12 Mar 2026 18:08 |
| Status: | In Press |
| Publisher: | IEEE |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:238694 |

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