Explore the words cloud of the ReconCell project. It provides you a very rough idea of what is the project "ReconCell" about.
The following table provides information about the project.
Coordinator |
INSTITUT JOZEF STEFAN
Organization address contact info |
Coordinator Country | Slovenia [SI] |
Project website | http://www.reconcell.eu/ |
Total cost | 6˙306˙457 € |
EC max contribution | 5˙561˙569 € (88%) |
Programme |
1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)) 2. H2020-EU.2.1.5.1. (Technologies for Factories of the Future) |
Code Call | H2020-FoF-2015 |
Funding Scheme | IA |
Starting year | 2015 |
Duration (year-month-day) | from 2015-11-01 to 2019-02-28 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | INSTITUT JOZEF STEFAN | SI (LJUBLJANA) | coordinator | 1˙002˙482.00 |
2 | SYDDANSK UNIVERSITET | DK (ODENSE M) | participant | 1˙080˙060.00 |
3 | RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN | DE (AACHEN) | participant | 926˙980.00 |
4 | GEORG-AUGUST-UNIVERSITAT GOTTINGENSTIFTUNG OFFENTLICHEN RECHTS | DE (GOTTINGEN) | participant | 813˙975.00 |
5 | BLUE OCEAN ROBOTICS APS | DK (ODENSE M) | participant | 677˙488.00 |
6 | INNOVAATION OY UUSI TEHDAS | FI (TAMPERE) | participant | 381˙836.00 |
7 | LOGICDATA ELECTRONIC & SOFTWARE ENTWICKLUNGS GMBH | AT (DEUTSCHLANDSBERG) | participant | 241˙570.00 |
8 | UAB PRECIZIKA METAL | LT (VILNIUS) | participant | 222˙040.00 |
9 | ELVEZ, PROIZVODNJA KABELSKE KONFEKCIJE IN PREDELAVA PLASTICNIH MAS DOO | SI (VISNJA GORA) | participant | 215˙138.00 |
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.
Workcell monitoring: methods and evaluation | Documents, reports | 2020-01-21 12:43:49 |
Developer, Distribution & Manufacturing Network as well as new I4MS knowledge hubs establishments and operations | Documents, reports | 2020-01-21 12:43:48 |
Manual for setting up software tools for business intelligence | Documents, reports | 2020-01-21 12:43:49 |
Manual for workcell simulation | Documents, reports | 2020-01-21 12:43:48 |
Manual for programming of assembly skills and tasks | Documents, reports | 2020-01-21 12:43:48 |
Workcell simulation for reconfiguration | Documents, reports | 2020-01-21 12:43:48 |
Demonstration of optimal workcell reconfiguration in simulation | Demonstrators, pilots, prototypes | 2020-01-21 12:43:48 |
Manual for programming of visual processing | Documents, reports | 2020-01-21 12:43:48 |
Intermediate demonstrations of use-cases | Demonstrators, pilots, prototypes | 2020-01-21 12:43:48 |
Workcell installation manual | Documents, reports | 2020-01-21 12:43:48 |
Technical report on ReconCell model for business intelligence, part 2 | Documents, reports | 2020-01-21 12:43:48 |
Demonstration of optimal workcell reconfiguration in real world | Demonstrators, pilots, prototypes | 2020-01-21 12:43:48 |
Software environment for visual programming of assembly skills | Demonstrators, pilots, prototypes | 2020-01-21 12:43:47 |
ReconCell project website | Websites, patent fillings, videos etc. | 2020-01-21 12:43:47 |
Movement and grasping evaluation and learning through simulation | Documents, reports | 2020-01-21 12:43:47 |
Report on legal documents for partners, customers and developers | Documents, reports | 2020-01-21 12:43:47 |
Technical report on software and hardware components in the workcell | Documents, reports | 2020-01-21 12:43:47 |
Technical report on the design of innovative workcell elements | Documents, reports | 2020-01-21 12:43:48 |
Sub-system for 3D simulation, visualization and interfacing with the user | Documents, reports | 2020-01-21 12:43:47 |
Technical report on ReconCell model for business intelligence, part 1 | Documents, reports | 2020-01-21 12:43:48 |
Take a look to the deliverables list in detail: detailed list of ReconCell deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Michael Schluse, Marc Priggemeyer, Linus Atorf, Juergen Rossmann Experimentable Digital Twins—Streamlining Simulation-Based Systems Engineering for Industry 4.0 published pages: 1722-1731, ISSN: 1551-3203, DOI: 10.1109/tii.2018.2804917 |
IEEE Transactions on Industrial Informatics 14/4 | 2020-01-21 |
2017 |
Thiusius Rajeeth Savarimuthu, Anders Glent Buch, Christian Schlette, Nils Wantia, Jurgen Rossmann, David Martinez, Guillem Alenya, Carme Torras, Ales Ude, Bojan Nemec, Aljaz Kramberger, Florentin Worgotter, Eren Erdal Aksoy, Jeremie Papon, Simon Haller, Justus Piater, Norbert Kruger Teaching a Robot the Semantics of Assembly Tasks published pages: 1-23, ISSN: 2168-2216, DOI: 10.1109/TSMC.2016.2635479 |
IEEE Transactions on Systems, Man, and Cybernetics: Systems | 2020-01-21 |
2018 |
Adam Wolniakowski, Andrej Gams, Lilita Kiforenko, Aljaž Kramberger, Dimitrios Chrysostomou, Ole Madsen, Konstantsin Miatliuk, Henrik Gordon Petersen, Frederik Hagelskjær, Anders Glent Buch, Aleš Ude, Norbert Krüger Compensating Pose Uncertainties through Appropriate Gripper Finger Cutouts published pages: 78-83, ISSN: 2300-5319, DOI: 10.2478/ama-2018-0013 |
Acta Mechanica et Automatica 12/1 | 2020-01-21 |
2017 |
Aljaž Kramberger, Andrej Gams, Bojan Nemec, Dimitrios Chrysostomou, Ole Madsen, Aleš Ude Generalization of orientation trajectories and force-torque profiles for robotic assembly published pages: 333-346, ISSN: 0921-8890, DOI: 10.1016/j.robot.2017.09.019 |
Robotics and Autonomous Systems 98 | 2020-01-21 |
2018 |
Michael Schluse, Marc Priggemeyer, Linus Atorf, Juergen Rossmann Experimentable Digital Twins—Streamlining Simulation-Based Systems Engineering for Industry 4.0 published pages: 1722-1731, ISSN: 1551-3203, DOI: 10.1109/tii.2018.2804917 |
IEEE Transactions on Industrial Informatics 14/4 | 2020-01-21 |
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The information about "RECONCELL" are provided by the European Opendata Portal: CORDIS opendata.