Publication

Automation of product packaging for industrial applications

C. Perez-Vidal, L. Gracia, J. M. de Paco, Malte Wirkus, J. M. Azorin, José de Gea Fernández

In: International Journal of Computer Integrated Manufacturing Pages 1-9 Taylor & Francis Online 8/2017.

Abstract

This work presents a robotic-based solution devised to automate the product packaging in industrial environments. Although the proposed approach is illustrated for the case of the shoe industry, it applies to many other products requiring similar packaging processes. The main advantage obtained with the automated task is that productivity could be significantly increased. The key algorithms for the developed robot system are: object detection using a computer vision system; object grasping; trajectory planning with collision avoidance; and operator interaction using a force/torque sensor. All these algorithms have been experimentally tested in the laboratory to show the effectiveness and applicability of the proposed approach.

Projekte

Weitere Links

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz