Towards Online 3D Bin Packing: Learning Synergies between Packing and Unpacking via DRL
Shuai Song, Shuo Yang, Ran Song, Shilei Chu, yibin Li, Wei Zhang
Abstract
There is an emerging research interest in addressing the online 3D bin packing problem (3D-BPP), which has a wide range of applications in logistics industry. However, neither heuristic methods nor those based on deep reinforcement learning (DRL) outperform human packers in real logistics scenarios. One important reason is that humans can make corrections after performing inappropriate packing actions by unpacking incorrectly packed items. Inspired by such an unpacking mechanism, we present a DRL-based packing-and-unpacking network (PUN) to learn the synergies between the two actions for the online 3D-BPP. Experimental results demonstrate that PUN achieves the state-of-the-art performance and the supplementary video shows that the system based on PUN can reliably complete the online 3D bin packing task in the real world.
BibTeX
@inproceedings{
song2022towards,
title={Towards Online 3D Bin Packing: Learning Synergies between Packing and Unpacking via {DRL}},
author={Shuai Song and Shuo Yang and Ran Song and Shilei Chu and yibin Li and Wei Zhang},
booktitle={6th Annual Conference on Robot Learning},
year={2022},
url={https://openreview.net/forum?id=1Pt2FM5BLdi}
}