Automating Box Folding: Sequence Extraction and Ranking Methodologies

TL;DR

This paper introduces a novel method for extracting and ranking folding sequences to automate box folding, enhancing adaptability and efficiency in robotic packaging systems.

Contribution

It presents an innovative approach to identify and rank folding sequences, improving automation adaptability for different box types.

Findings

Effective sequence ranking improves folding feasibility.

System successfully recommends sequences compatible with hardware.

Demonstrated robotic box folding in a real-world use case.

Abstract

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.