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Morphing Computerized mats with Embodied Sensing and Artificial Intelligence

Description du projet

Former des mains robotisées pour qu’elles soient plus intelligentes

Ramasser des objets est une tâche facile pour certains des plus petits humains, mais les robots ont plus de difficultés. Le projet MOZART, financé par l’UE, entend améliorer la façon dont les robots manipulent des objets mous et hétérogènes. Pour ce faire, les chercheurs développeront un nouveau concept de manipulation d’objets à l’aide de surfaces de manipulation déformables soutenues par des outils de contrôle d’intelligence artificielle. Les surfaces seront composées de trois parties: une couche électronique modulaire en charge de la communication, de l’alimentation et du calcul, une couche d’actionnement et une peau de détection poroélastique souple. La surface pourra modifier sa courbure pour manipuler différents objets. La technologie sera démontrée dans trois tâches de l’industrie alimentaire: l’écaillage du poisson, le tri du poulet et la présentation du poulet. L’objectif est d’automatiser les processus de conditionnement des aliments.

Objectif

The MOZART project aims to advance the state-of-the art in robotic handling and manipulation of soft and heterogenous objects. The approach we take is a radical departure from existing manipulator approaches as we will develop a new concept for manipulation through the use of deformable manipulation surfaces supported by AI-powered control and learning tools. The manipulation surface is able to change its curvature locally and through this manipulates objects on the surface.
The manipulation surface has three constituent elements. A conventional modular electronics layer responsible for communication, power, and computation, an actuation layer based on origami mechanisms, and finally, a soft poro-elastic sensing skin. The hardware development is complemented by a distributed control application programming interface which is built on cellular automata and deep learning. The framework includes basic and coordination primitives that allow for manipulation of individual objects and groups of objects, respectively.
For demonstration we have chosen three target demonstrators in the food handling industry which are descaling fish, sorting of chicken and presentation of chicken.
The final pillar of the project is an integrative-interdisciplinary social sciences and humanities approach that tackles the transition of the role of the operators today to more high-skilled jobs in the future. It also addresses the general ethical challenges surrounding food production to ensure sustainable technology development in terms of social and ethical as well as ecological consequences.
The core research is complemented by a comprehensive dissemination and communication package that targets all relevant stakeholders. Finally, a clear exploitation plan including standardisation is described which will transition the AUTOMATs from TRL 5 at the end of the project to a product ready to impact the food packing industry four year after the end of the project.

Mots‑clés

Coordinateur

IT-UNIVERSITETET I KOBENHAVN
Contribution nette de l'UE
€ 1 201 558,75
Adresse
RUED LANGGAARDSVEJ 7
2300 Kobenhavn
Danemark

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Région
Danmark Hovedstaden Byen København
Type d’activité
Higher or Secondary Education Establishments
Liens
Coût total
€ 1 201 558,75

Participants (6)

Partenaires (1)