Augmenting cobots for sheet-metal SMEs with 3D object recognition and localisation

TL;DR

This paper discusses enhancing collaborative robots with 3D object recognition and localisation to better support small and medium-sized sheet-metal workshops, aiming to improve flexibility and efficiency in variable production environments.

Contribution

It introduces a framework for integrating 3D recognition and localisation into cobots, demonstrating potential benefits and challenges in industrial sheet-metal applications.

Findings

Enhanced cobots can better handle small batch production tasks.

Integration of 3D recognition improves accuracy in object localisation.

Practical implementation insights from a previous industrial project.

Abstract

Due to high-mix-low-volume production, sheet-metal workshops today are challenged by small series and varying orders. As standard automation solutions tend to fall short, SMEs resort to repetitive manual labour impacting production costs and leading to tech-skilled workforces not being used to their full potential. The COOCK+ ROBUST project aims to transform cobots into mobile and reconfigurable production assistants by integrating existing technologies, including 3D object recognition and localisation. This article explores both the opportunities and challenges of enhancing cobotic systems with these technologies in an industrial setting, outlining the key steps involved in the process. Additionally, insights from a past project, carried out by the ACRO research unit in collaboration with an industrial partner, serves as a concrete implementation example throughout.