Cobotic Induction System for automated garments sorting
Share
About the project
Bring to market a collaborative robotic system that sorts a mixture and randomly arranged garment packages.
Purpose of the project
Develop a collaborative robotic induction solution powered by machine learning models able to identify garments and grasp them for subsequent partition.
Societal impact
Push the garment market toward a sustainable economy by means of circular and green actions enabled by a novel human inclusive system for effective management of new, returned or used clothing.
Main results & insights
Development of (i) machine learning models able to recognize the location of randomly arranged garments in baskets or trolley and (ii) a grasping equipment that gently grabs the garments
Quote from the Activity Leader
CoboSort – the resilent cobotic sorting solution of bulk clothing for
Fabio Pini PhD, researcher on integrated design methodologies for the development of industrial/collaborative robotic solutions; University of Modena and Reggio Emilia
logistic of new circular economy in the fashion market.