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

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

Objective

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.

Coordinator

PANEPISTIMIO PATRON

Address

University Campus Rio Patras
265 04 Rio Patras

Greece

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 038 750

Participants (7)

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PSA AUTOMOBILES SA

France

EU Contribution

€ 386 225

SICK AG

Germany

EU Contribution

€ 747 600

FUNDACION TECNALIA RESEARCH & INNOVATION

Spain

EU Contribution

€ 873 725

ROBOCEPTION GMBH

Germany

EU Contribution

€ 350 875

DGH ROBOTICA, AUTOMATIZACION Y MANTENIMIENTO INDUSTRIAL SA

Spain

EU Contribution

€ 447 212,50

Aernnova Aerospace S.A.U.

Spain

EU Contribution

€ 198 187,50

INTRASOFT INTERNATIONAL SA

Luxembourg

EU Contribution

€ 468 125

Project information

Grant agreement ID: 723616

Status

Ongoing project

  • Start date

    1 October 2016

  • End date

    30 September 2020

Funded under:

H2020-EU.2.1.5.1.

  • Overall budget:

    € 5 624 225

  • EU contribution

    € 4 510 700

Coordinated by:

PANEPISTIMIO PATRON

Greece