Explore the words cloud of the SYMPLEXITY project. It provides you a very rough idea of what is the project "SYMPLEXITY" about.
The following table provides information about the project.
Coordinator |
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
Organization address contact info |
Coordinator Country | Germany [DE] |
Project website | http://www.symplexity.eu |
Total cost | 8˙022˙267 € |
EC max contribution | 6˙660˙525 € (83%) |
Programme |
1. H2020-EU.2.1.5.1. (Technologies for Factories of the Future) |
Code Call | H2020-FoF-2014 |
Funding Scheme | IA |
Starting year | 2015 |
Duration (year-month-day) | from 2015-01-01 to 2018-12-31 |
Take a look of project's partnership.
In nearly every sector of industrial manufacturing polishing techniques are used. But often manual polishing is the only option because the tasks are too complex to be automated. Therefore in SYMPLEXITY Symbiotic Human-Robot Solutions for Complex Surface Finishing Operations will be developed. The main SYMPLEXITY Objectives are
SO 1 – Accurate and cognitive industrial robot systems enabling safe human-robot collaboration for surface finishing operations SO 2 – Easy to use interfaces for planning, control and re-planning of shared finishing tasks SO 3 – Collaboration oriented process technology for abrasive finishing, laser and fluid jet polishing SO 4 – Integrated and autonomous sensing system for objective identification of surface properties SO 5 – Introduction of developed collaborative finishing solutions into manufacturing industry
In SO5 the results of the first 4 objectives will be combined to 3 demonstrator human-robot collaboration cells, one for each of the investigated process technologies. The 3 demonstrator cells will be tested in operational environment at 3 end-users.
SYMPLEXITY is the consistent continuation of 3 recent EU projects that achieved TRL 4-5: COMET – Plug-and-produce COmponents and METhods for adaptive control of industrial robots SAPHARI – Safe and Autonomous Physical Human-Aware Robot Interaction poliMATIC – Polishing processes and tools development
SYMPLEXITY will bring together the results and key partners of these 3 projects to achieve TRL7 and thereby support the European Industry to win the competition in the global market with higher quality, efficient manufacturing and economic production, based on human robot collaboration for polishing complex shaped metallic surfaces. Relevant branches are tool making, medical engineering, aeronautics and automotive industry. Case studies show, that for many applications todays >90% of manual work can be converted in 80 % of robotic work under human control and 20 % of manual work.
Three demonstrator machines ready for transfer to RTDs | Demonstrators, pilots, prototypes | 2019-11-25 11:07:56 |
Test of demonstrator machines in industrial-close environment | Documents, reports | 2019-11-25 11:07:56 |
Demonstration of collaborative polishing at RTDs/Cell-supplier | Documents, reports | 2019-11-25 11:07:56 |
Booths at fairs demonstrating SYMPLEXITY solutions (e.g. Euromold 2016) | Other | 2019-11-25 11:07:56 |
Training material for students and professionals | Other | 2019-11-25 11:07:56 |
Webpage representing the SYMPLEXITY project and current results | Websites, patent fillings, videos etc. | 2019-11-25 11:07:56 |
Take a look to the deliverables list in detail: detailed list of SYMPLEXITY deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2018 |
Claudio Gaz, Emanuele Magrini, Alessandro De Luca A model-based residual approach for human-robot collaboration during manual polishing operations published pages: , ISSN: 0957-4158, DOI: 10.1016/j.mechatronics.2018.02.014 |
Mechatronics | 2019-11-25 |
2016 |
Victor Grün, Rainer Börret, Marco Speich, Dominik Wiedemann Fluid jet polishing of steel moulds published pages: 100090J, ISSN: , DOI: 10.1117/12.2235998 |
Third European Seminar on Precision Optics Manufacturing | 2019-11-25 |
2016 |
Gabriele Buondonno, Alessandro De Luca Combining real and virtual sensors for measuring interaction forces and moments acting on a robot published pages: , ISSN: , DOI: |
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems | 2019-11-25 |
2017 |
Flacco Fabrizio, Alessandro De Luca Real-Time Computation of Distance to Dynamic Obstacles With Multiple Depth Sensors published pages: 56-63, ISSN: 2377-3766, DOI: 10.1109/LRA.2016.2535859 |
IEEE Robotics and Automation Letters 2/1 | 2019-11-25 |
2016 |
Emanuele Magrini, Alessandro De Luca Hybrid force/velocity control for physical human-robot collaboration tasks published pages: , ISSN: , DOI: |
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems | 2019-11-25 |
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The information about "SYMPLEXITY" are provided by the European Opendata Portal: CORDIS opendata.