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Mobile dual arm robotic workers with embedded cognition for hybrid and dynamically reconfigurable manufacturing systems

Objectif

The productivity of the serial production model is compromised by the need to perform changes in the production equipment that cannot support multiple operations in dynamic environments. Low cost labour is no longer an option for EU manufacturers due to the fast rise of wages and the increasing costs of energy and logistics. Manual tasks cannot be fully automated with a good ratio of cost vs robustness using standard robots due to: high product variability, dedicated process equipment and high cost of maintenance by expert users. The answer to this challenge lays in the creation of production concepts that base their operation on the autonomy and collaboration between production resources.
The vision of THOMAS is: “to create a dynamically reconfigurable shopfloor utilizing autonomous, mobile dual arm robots that are able to perceive their environment and through reasoning, cooperate with each other and with other production resources including human operators”.
The objective of THOMAS are to:
- Enable mobility on products and resources. Introducing mobile robots able to navigate in the shopfloor and utilize dexterous tooling to perform multiple operations.
- Enabling perception of the task and the environment using a) the individual resource’s and b) collaborative perception by combining sensors of multiple resources
- Dynamic balancing of workload. Allowing the resources to communicate over a common network and automatically adjust their behaviour by sharing or reallocating tasks dynamically.
- Fast programming and automatic execution of new tasks by a) automatically generating the robot program for new products and b) applying skills over the perceived environment to determine required adaptations
- Safe human robot collaboration, eliminating physical barriers, by introducing cognitive abilities that allow the detection of humans and their intentions
THOMAS will demonstrate and validate its developments in the automotive and the aeronautics industrial sectors.

Appel à propositions

H2020-FOF-2016
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Régime de financement

IA - Innovation action

Coordinateur

PANEPISTIMIO PATRON
Adresse
University Campus Rio Patras
265 04 Rio Patras
Greece
Type d’activité
Higher or Secondary Education Establishments
Contribution de l’UE
€ 1 038 750

Participants (7)

PSA AUTOMOBILES SA
France
Contribution de l’UE
€ 386 225
Adresse
2/10 Boulevard De L'europe
78300 Poissy
Type d’activité
Private for-profit entities (excluding Higher or Secondary Education Establishments)
SICK AG
Allemagne
Contribution de l’UE
€ 747 600
Adresse
Erwin Sick Strasse 1
79183 Waldkirch
Type d’activité
Private for-profit entities (excluding Higher or Secondary Education Establishments)
FUNDACION TECNALIA RESEARCH & INNOVATION
Espagne
Contribution de l’UE
€ 873 725
Adresse
Parque Cientifico Y Tecnologico De Gipuzkoa Paseo Mikeletegi 2
20009 Donostia/san Sebastian (Gipuzkoa)
Type d’activité
Research Organisations
ROBOCEPTION GMBH
Allemagne
Contribution de l’UE
€ 350 875
Adresse
Kaflerstrasse 2
81241 Munchen
Type d’activité
Private for-profit entities (excluding Higher or Secondary Education Establishments)
DGH ROBOTICA, AUTOMATIZACION Y MANTENIMIENTO INDUSTRIAL SA
Espagne
Contribution de l’UE
€ 447 212,50
Adresse
Calle Jeronimo Munoz 9
47151 Boecillo (Valladolid)
Type d’activité
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Aernnova Aerospace S.A.U.
Espagne
Contribution de l’UE
€ 198 187,50
Adresse
Leonardo Da Vinci Parque Tecnologico De Alava 13
01510 Miñano (Alava)
Type d’activité
Private for-profit entities (excluding Higher or Secondary Education Establishments)
INTRASOFT INTERNATIONAL SA
Luxembourg
Contribution de l’UE
€ 468 125
Adresse
Rue Nicolas Bove 2B
1253 Luxembourg
Type d’activité
Private for-profit entities (excluding Higher or Secondary Education Establishments)