Box folding represents a crucial challenge for automated packaging systems. This work bridges the gap between existing methods for folding sequence extraction and approaches focused on the adaptability of automated systems to specific box types. An innovative method is proposed to identify and rank folding sequences, enabling the transformation of a box from an initial state to a desired final configuration. The system evaluates and ranks these sequences based on their feasibility and compatibility with available hardware, providing recommendations for real-world implementations. Finally, an illustrative use case is presented, where a robot performs the folding of a box.
View on arXiv@article{preziosa2025_2505.04257,
title={ Automating Box Folding: Sequence Extraction and Ranking Methodologies },
author={ Giuseppe Fabio Preziosa and Davide Ferloni and Andrea Maria Zanchettin and Marco Faroni and Paolo Rocco },
journal={arXiv preprint arXiv:2505.04257},
year={ 2025 }
}