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A Reconfigurable robot workCell for fast set-up of automated assembly processes in SMEs

Objective

ReconCell develops a new type of robot workcell, its required process infrastructures and the economic framework for automated robot assembly, especially designed for the needs of SMEs. SMEs would benefit from robotic automation, but often cannot use it due to set-up & maintenance complexity. This requires expert knowledge and time for configuration and programming, which is too costly for them. Robotic automation is, thus, normally economically infeasible for SMEs, especially for small batch sizes. ReconCell develops an easy to (re-)configure and (re-)program workcell, making robot solutions commercially viable even for small batch sizes (~1000 units) by reducing set-up & maintenance effort substantially.

Specifically, the ReconCell System is based on a layered concept where we start together with the customer with business modelling the planned product assembly based on the ReconCell System to assess its economic viability and provide decisive Key Performance Indicators (KPIs). On approval, the next layer of the ReconCell System implements assembly with automated testing in simulation. Here we use reconfigurable hardware elements to design the required workcell layout and assembly processes. After verification, product assembly takes place in the real workcell under machine vision-based monitoring and novel force-based control of execution to assure product quality using the KPIs. We demonstrate the capabilities of the layered ReconCell System on three real use cases provided by the SMEs of our consortium and two more use cases, established through an open call. In addition, the consortium has started to establish a network of potential ReconCell users to disseminate information about ReconCell technologies to all actors in the value chain, and to raise awareness about the possibilities of automated robot assembly in SMEs. The final aim is to establish a company that commercializes the workcell and associated technologies developed in the ReconCell project.

Field of science

  • /social sciences/sociology/industrial relations/automation
  • /social sciences/economics and business

Call for proposal

H2020-FoF-2015
See other projects for this call

Funding Scheme

IA - Innovation action

Coordinator

INSTITUT JOZEF STEFAN
Address
Jamova 39
1000 Ljubljana
Slovenia
Activity type
Research Organisations
EU contribution
€ 1 002 482

Participants (8)

SYDDANSK UNIVERSITET
Denmark
EU contribution
€ 1 080 060
Address
Campusvej 55
5230 Odense M
Activity type
Higher or Secondary Education Establishments
RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN
Germany
EU contribution
€ 926 980
Address
Templergraben 55
52062 Aachen
Activity type
Higher or Secondary Education Establishments
GEORG-AUGUST-UNIVERSITAT GOTTINGENSTIFTUNG OFFENTLICHEN RECHTS
Germany
EU contribution
€ 813 975
Address
Wilhelmsplatz 1
37073 Gottingen
Activity type
Higher or Secondary Education Establishments
BLUE OCEAN ROBOTICS APS
Denmark
EU contribution
€ 677 488
Address
Klokkestobervej 18
5230 Odense M
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
INNOVAATION OY UUSI TEHDAS
Finland
EU contribution
€ 381 836
Address
Hermiankatu 1
33720 Tampere
Activity type
Other
ELVEZ, PROIZVODNJA KABELSKE KONFEKCIJE IN PREDELAVA PLASTICNIH MAS DOO
Slovenia
EU contribution
€ 215 138
Address
Ulica Antona Tomsica 35
1294 Visnja Gora
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
UAB PRECIZIKA METAL
Lithuania
EU contribution
€ 222 040
Address
Lakunu 3
09108 Vilnius
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
LOGICDATA ELECTRONIC & SOFTWARE ENTWICKLUNGS GMBH
Austria
EU contribution
€ 241 570
Address
Wirtschaftspark 18
8530 Deutschlandsberg
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)