H2020 projects
The Horizon 2020 program supports projects all along the innovation chain, and aims to rationalize funding in favor of growth. The program is structured around three priorities: Scientific Excellence, Industrial Leadership and Societal Challenges.
INSA Rennes as beneficiary
__________
RISING STARS 
RISE International Network for Solutions Technologies and Applications of Real-time Systems
A parallel execution framework for advanced real-time systems
There is a need for parallel execution frameworks that are compatible with High-Performance Computing (HPC) and capable of guaranteeing that the decisions made during execution do not affect its smooth operation or synchronization. To meet this need, the EU-funded Rising STARS project intends to create a parallel programming framework for the development and execution of large-scale advanced cyber-physical systems with HPC and real-time computing requirements. The project will also investigate new parallel programming extensions that will enable developers to define real-time properties of the system, in terms of periodicity and timing constraints. This framework has the potential to improve the performance of giant telescopes, the Square Kilometre Array and real-time-critical embedded systems.
The main objective of Rising STARS is to establish a parallel programming framework for the development and execution of advanced large-scale cyber-physical systems (CPS) with high-performance computing (HPC) and real-time requirements. Generally speaking, there is an urgent need to develop parallel execution frameworks, compatible with high-performance computing, capable of ensuring that decisions made at runtime maintain system accuracy and synchronization guarantees. These new execution capabilities cannot, however, exclude the possibility of dynamically adapting execution to new working conditions or changing CPS operating modes in order to maximize the utilization and performance capabilities of heterogeneous parallel architectures.
A key element of the Rising STARS framework will be the incorporation of a unified, efficient and highly configurable data acquisition strategy, fully integrated into parallel programming models, with the aim of improving productivity in CPS software development. Exposing data acquisition to the programmer (by including it in the parallel programming model) is also essential to make data transfers coincide with computation. Another aim of the project is to add this capability to existing programming models for HPC, and to investigate new parallel programming extensions to enable developers to define real-time system properties in terms of periodicity and timing constraints. Finally, one of our main objectives is to implement several demonstration platforms to promote the main technological developments of this R&I action and their performance under realistic conditions, including adaptive optics for giant telescopes and SSA experiments, data processing for the SKA and real-time-critical embedded systems.
https://cordis.europa.eu/project/id/873120/fr
https://marie-sklodowska-curie-actions.ec.europa.eu/
__________
Themes: Electronics and Telecommunications
Laboratory: IETR
Funder(s): Commission Européenne, H2020 Program , H2020-MSCA-RISE-2019, GA 873120
Coordination: Observatoire de Paris
Participants: BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACION (Espagne), THALES (France), MICROGATE SRL (Italie), ARIANEGROUP SAS (France), NVIDIA SWITZERLAND AG (Suisse) participation ended
Partners: THE AUSTRALIAN NATIONAL UNIVERSITY (Australia), SWINBURNE UNIVERSITY OF TECHNOLOGY (Australia), COMMONWEALTH SCIENTIFIC AND INDUSTRIAL RESEARCH ORGANISATION (Australia), INTER-UNIVERSITY RESEARCH INSTITUTE CORPORATION NATIONAL INSTITUTES OF NATURAL SCIENCES (Japan)
Project leader for INSA Rennes: Jean-François NEZAN
Total project budget: 634 800 €
INSA Rennes budget: 138 000 €
Duration: 70 months from February 1, 2020
______________________________________________________________________________
NANO-EH 
The significant increase in the frequency spectrum used by wireless communications in Europe makes the recovery of energy from radio-frequency (RF) electromagnetic waves a very promising route to clean power for the next generation of the Internet-of-things (IoT). Indeed, to enable wireless devices to self-power (and make them autonomous systems, a key point of the next generation of IoT), the main challenge is to recover ambient RF energy from miniaturized energy harvesting sources, while integrating new energy storage devices.
NANO-EH, a new EIC Pathfinder project, will optimize new nanomaterials for integration into miniaturized energy harvesting and storage devices (rectennas, pyroelectric devices, supercapacitors, photovoltaics, etc.). These nanomaterials will be developed from non-toxic, low-cost materials (lead-free and rare-earth-free) compatible with CMOS technology, and therefore developed on Si substrates, with a view to low-cost, large-scale manufacturing. More generally, the context of the NANO-EH project concerns communication technologies and the development of IoT for recent applications such as personalized medicine of the future, intelligent agriculture and environmental monitoring.
The NANO-EH project has been selected in the FET call Proactive: emerging paradigms and communities (FETPROACT-EIC-05-2019) in the sub-theme “Breakthrough zero-emissions energy generation for full decarbonisation”. The NANO-EH project brings together a consortium of 10 partners (five research institutions, four high-tech SMEs and one major industry) from 4 countries (Ireland, Romania, Italy and France).
__________
Themes: Materials science, materials engineering
Laboratory: Institut FOTON
Funder(s): Commission Européenne, H2020 Program
Coordinateion: UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK
Partners: INSTITUTUL NATIONAL DE CERCETAREDEZVOLTARE PENTRU MICROTEHNOLOGIE (Romania), ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA (Italia), UNIVERSITA POLITECNICA DELLE MARCHE (Italia), INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE RENNES (France), THALES SA (France), TE-OX (France), LUNA GEBER ENGINEERING SRL (Italia), NANOM MEMS SRL (Romania), VERTECH GROUP (France)
Project leader for INSA Rennes: Olivier DURAND
Total project budget: 3 929 360.00 €
INSA Rennes budget: 300 000 €
Duration: 36 months from October 1, 2020
DROP IT
DROP-IT proposes to use inkjet deposition technology on flexible substrates for optoelectronic and photonic applications, exploiting the significant potential of lead-free perovskite-based materials.
The technology studied in the DROP-IT project is envisaged for the long term in the fields of photovoltaics, lighting and integrated photonics. In particular, the project proposes innovative developments in manufacturing processes (Roll-to-Roll inkjet printing) adapted to lead-free perovskite-based materials. These developments will be essential if we are to target manufacturing techniques that are: i) large-scale, ii) sustainable and iii) low-cost.
DROP-IT relies on an interdisciplinary consortium with complementary expertise to achieve these objectives. In particular, the Institut FOTON team based at INSA Rennes will use its simulation skills (DFT, or empirical) in the field of perovskite-based materials and heterostructures, as well as in tasks linked to the analysis of experimental results.
__________________
Themes: Materials science, materials engineering, condensed matter physics
Laboratory: Institut FOTON
Funder(s) : Commission Européenne, H2020 Program
Coordination: UNIVERSITAT DE VALENCIA
Partners: UNIVERSITAT DE VALENCIA (Spain), UNIVERSITAT DE BARCELONA (Spain), UNIVERSITAT JAUME I DE CASTELLON (Spain), EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH (Swiss), FUNDACJA SAULE RESEARCH INSTITUTE (Poland), SAULE SP ZOO (Poland), AVANTAMA AG (Swiss), INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE RENNES (France)
Project leader for INSA Rennes: Laurent PEDESSEAU
Total project budget: 3,5 millions d’€
INSA Rennes budget: 387 875€
Duration: 36 months from November 1, 2019
IMAGINE
Today's robots are capable of executing programmed movements, but they do not understand their actions in the sense that they could automatically generalize them to new situations or readjust them in the event of failure.
The aim of the IMAGINE project is to enable robots to understand the structure of their environment and imagine how to modify their actions accordingly. “Understanding” here means the robot's ability (a) to determine the parameters of an action that will achieve the desired effect, and (b) to determine the extent to which an action has been successful, and to deduce possible causes of failure and possible alternatives.
The scientific objective of the project is positioned in the context of electronic appliance recycling.
www.imagine-h2020.eu
__________
Themes: IT/Robotics
Laboratory: IRISA
Funder(s): Commission Européenne, H2020 Program
Coordination: UNIVERSITAET INNSBRUCK
Partners: GEORG-AUGUST-UNIVERSITAT GOTTINGENSTIFTUNG OFFENTLICHEN RECHTS, KARLSRUHER INSTITUT FUER TECHNOLOGIE, INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE RENNES, AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS, BOGAZICI UNIVERSITESI, ELECTROCYCLING GMBH
Project leader for INSA Rennes: Maud MARCHAL
Total project budget: 3,8 Millions d’€
INSA Rennes budget: 628 550€
Duration: 50 months from January 1, 2017
CERBERO
Information and Communication Technologies (ICT) are integrated and ubiquitous in our daily lives. The notion of Cyber Physical Systems (CPS) has emerged: embedded systems that collaborate with each other, are capable of controlling physical elements and interacting with humans.
In this context, the CERBERO project aims to develop a design environment based on two pillars: a cross-layer model-based approach to simultaneously describe, optimize and analyze the system and all its viewpoints; and advanced support for adaptability based on a multi-layer autonomous engine.
www.cerbero-h2020.eu
__________
Themes: Electronics and Telecommunications
Laboratory: IETR-IMAGE - Vaader team
Funder(s): Commission Européenne, H2020 Program
Coordination: IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD
Partners: UNIVERSITA DEGLI STUDI DI SASSARI, THALES ALENIA SPACE ESPANA, SA, UNIVERSITA DEGLI STUDI DI CAGLIARI, INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE RENNES, UNIVERSIDAD POLITECNICA DE MADRID, UNIVERSITA DELLA SVIZZERA ITALIANA, ABINSULA SRL, AMBIESENSE LTD, NEDERLANDSE ORGANISATIE VOOR TOEGEPAST NATUURWETENSCHAPPELIJK ONDERZOEK TNO, SCIENCE AND TECHNOLOGY BV, CENTRO RICERCHE FIAT SCPA
Project leader for INSA Rennes: Daniel MENARD
Total project budget: 5 Millions d’€
INSA Rennes budget: 348 125€
Duration: 38 months from January 1, 2017
EURHISFIRM
The EURHISFIRM project is designing a world-class research infrastructure (RI) to connect, collect, collate, align and share detailed, reliable and standardized long-term financial, governance and geographic data on European companies.
RI provides the tools for long-term analysis, highlighting the dynamics of the past and how these dynamics shape our present and future.
EURHISFIRM develops innovative models and technologies to trigger a “Big Data” revolution in the historical social sciences and enhance the value of Europe's cultural heritage.
In this project, INSA Rennes-IRISA is working on the construction of a document recognition system exploiting artificial intelligence to extract high-quality data from historical serial printed sources: stock exchange directories and quotation lists. The wide diversity of these documents calls for the development of a flexible system that can be easily adapted. This system is therefore based, in interaction with experts in these historical documents, on knowledge modeling not only at page level, but also at collection level. In this way, redundancies between pages are exploited to make the system more reliable and reduce manual corrections.
eurhisfirm.eu
__________
Themes: Recognition of collections of digitized serial historical documents
Laboratory: IRISA
Funder(s): Commission Européenne, H2020 Program
Coordination: ECOLE D'ECONOMIE DE PARIS
Partners: Universiteit Antwerpen, Johann Wolfgang Goethe Universitat Frankfurt am Main, Erasmus Universiteit Rotterdam, Uniwersytet Ekonomiczny we Wroclawiu, The Queen's University of Belfast, Koninklijke Nederlandse Akademie van Wetenschappen – Knaw, Universidad Carlos III de Madrid, Université de Rouen Normandie, Institut National des Sciences Appliquées de Rennes, Gesis Leibniz-Institut Fur Sozialwissenschaften
Project leader for INSA Rennes: Bertrand COUASNON
Total project budget: 3,4 Millions d’€
INSA Rennes budget: 215 000€
Duration: 36 months from April 1, 2018
XP-RESILIENCE
The considerable impact of natural hazards, such as earthquakes, tsunamis, floods, etc., in triggering technological accidents, known as natural technology events (NaTech), has been demonstrated.
The NaTech issue is highly relevant, since up to 10% of industrial accidents involving the release of chemical, biological, radiological, nuclear and high-yield explosive (CBRNE) substances have been triggered by natural hazards.
The XP-Resilience project aims to develop advanced modeling tools and protection systems using metamaterials to analyze and mitigate severe accidents that can affect petrochemical facilities subjected to exceptional stresses. This project involves 14 ESRs (young researchers), two of whom are assigned to INSA Rennes-LGCGM. Our mission is to develop macroelements for soil-structure interaction in the case of deep foundations (piles), as well as 3D tube and bend finite elements for non-linear analysis of petrochemical infrastructures.
www.facebook.com/XpResilience
__________
Themes: Structural engineering
Laboratory: LGCGM
Funder(s): Commission Européenne, H2020 Program
Coordination: UNIVERSITA DEGLI STUDI DI TRENTO
Partners: PANEPISTIMIO PATRON ; UNIVERSITA DEGLI STUDI DEL SANNIO ; UNIVERZA V LJUBLJANI ; POLITECHNIKA SLASKA ; UNIVERSITA DEGLI STUDI ROMA TRE ; INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE RENNES ; ARCELORMITTAL BELVAL & DIFFERDANGE SA ; COLUMBIAN CARBON EUROPA SRL ; VCE VIENNA CONSULTING ENGINEERS ZT GMBH
Project leader for INSA Rennes: Mohammed HJIAJ
Total project budget: 3,4 Millions d’€
INSA Rennes budget: 525 751€
Duration: 48 months from September 1, 2016
INSA Rennes as a third party
INSA Rennes, through the participation of its staff, is also involved in European projects without being the beneficiary, but as a third party to one of its co-tutelles, which is the beneficiary:
__________
ACROSS
The pace at which data is generated by scientific experiments and large-scale simulations poses new challenges in terms of the ability to efficiently analyze massive datasets.
Artificial intelligence, and more specifically machine learning and deep learning, has recently gained momentum to increase the speed of simulations. The ACROSS project (HPC Big DAta ArtifiCial Intelligence cross Stack PlatfoRm TOwards ExaScale) aims to design and develop a convergent platform for high-performance computing, big data and artificial intelligence, supporting applications in the fields of aeronautics, climate and weather, and energy.
ACROSS will combine traditional high-performance computing techniques with artificial intelligence (in particular machine/deep learning) and big data analysis techniques to improve the results of application use cases (e.g. improving the existing operational system for numerical weather forecasting, climate simulations, developing an environment for user-defined in situ data processing, improving and innovating the existing aeronautical turbine design system, speeding up the design process, etc.). ) The performance of machine/deep learning will be accelerated by the use of dedicated hardware devices.
Themes: Data processing / Big data / Machine learning
Laboratories: Inria/IRISA
Funder(s): This project received funding from European High-Performance Computing Joint Undertaking Joint Undertaking (JU) under grant agreement No. 955648. JU receives support from the European research and innovation program Horizon 2020 and from Italy, France, Czech Republic, United Kingdom, Greece, Netherlands, Germany, Norway.
Coordination: FONDAZIONE LINKS - LEADING INNOVATION & KNOWLEDGE FOR SOCIETY (ITALIA)
Beneficiary of which INSA Rennes is a third party: INRIA
Duration: 36 months from March 1, 2021
PEROCUBE
High-performance, low-cost OLAE devices: perovskite materials technologies are making rapid progress, for lighting, renewable energies and the communications sector in the large-area organic electronics (OLAE) market. However, the study of these materials is mainly focused on the development of next-generation solar cells. The 14-partner EU-funded PeroCUBE project focuses on innovative production processes (printing on large surfaces) and the future commercialization of advanced products, taking forward the technologies developed for perovskite materials. The project targets the European lighting industry with large-area lighting panels, advanced photovoltaic panels based on perovskites, and the next generation of free-space/LiFi optical communication technologies. The CNRS partner is a joint team between the CNRS joint research units (UMR) Instutut FOTON (6082; INSA Rennes) and ISCR (6226: Université de Rennes).
- ISCR contact: Claudine KATAN, CNRS Research Director - claudine.katan@univ-rennes1.fr
- Institut FOTON contact: Jacky EVEN, Professor - jacky.even@insa-rennes.fr
__________
Themes: large-area organic optoelectronics based on perovskite materials
Laboratories: Institut FOTON UMR CNRS 6082
Funder(s): Commission Européenne, H2020 NMBP Program
Coordination: CSEM CENTRE SUISSE D'ELECTRONIQUE ET DE MICROTECHNIQUE SA - RECHERCHE ET DEVELOPPEMENT (Neuchatel, Switzerland)
Beneficiary of which INSA Rennes is a third party: CNRS – DR17 Délégation Bretagne Pays de Loire
Duation: 42 months from April 1, 2020
POLLOC
To move beyond the current CMOS paradigm, and influence the development of nanoelectronics, we need to completely rethink transistor circuits and devices. Building on recent breakthroughs in perovskite nanomaterials and optical devices based on room-temperature exciton-polariton physics by consortium partners, we believe the time is right to move from the promising laboratory stage to a new technology capable of outperforming established architectures. We will validate this new technology on key parameters such as power, energy efficiency, device size, modulation frequencies and cost. In the field of digital processing, we are targeting optically programmable, cascaded logic gates with switching energy below 100 attojoules and switching speed below picoseconds. To meet the requirements of this disruptive approach to all-optical devices and circuits, POLLOC brings together the full range of skills needed in chemistry, physics, theory and technology. The carefully selected and well-balanced consortium comprises leading partners from academia, SMEs and large end-users with excellent track records, ideally positioned to tackle the ambitious goal of defining a new paradigm for digital and analog circuits. The CNRS partner is a joint team between the CNRS joint research units (UMR) Institut FOTON (6082; INSA Rennes) and ISCR (6226: Université de Rennes).
- ISCR contact: Claudine KATAN, CNRS Research Director - claudine.katan@univ-rennes1.fr
- Institut FOTON contact: Jacky EVEN, Professor - jacky.even@insa-rennes.fr
__________
Themes: All-optical approach to overcome the limitations of CMOS technologies
Laboratories: Institut FOTON UMR CNRS 6082
Funder(s): Commission Européenne, H2020 Fetopen Program
Coordination: IBM (Zurich, Switzerland)
Beneficiary of which INSA Rennes is a third party: CNRS – DR17 Délégation Bretagne Pays de Loire
Duration: 36 mois à compter du 01 octobre 2020
CROWDBOT
CROWDBOT aims to enable mobile robots to navigate autonomously and assist humans in moving through dense crowds. Today's robots are programmed to stop dead in their tracks to avoid collision when a human or other obstacle gets too close. This strategy prevents robots from entering crowded areas, and cannot function effectively in highly dynamic environments. Typically, the robot will remain stationary for most of the time, or can no longer do its job.
The CROWDBOT project therefore aims to understand the interactions between robots and humans during navigation tasks. The project is based on three robotic platforms: a semi-autonomous wheelchair, the commercially available Pepper robot and the cuyBot robot currently under development. The CROWDBOT consortium has the expertise to bring new capabilities to robots, enabling them to move around safely and in a socially acceptable way.
Work at INSA Rennes - IRISA focuses on the semi-autonomous navigation of a wheelchair in a crowd, and on human-robot interactions.
project.inria.fr/crowdbot
__________
Themes: Assistance and service robotics, human-robot interaction, navigation
Laboratories: Inria/IRISA
Funder(s): Commission Européenne, H2020 Program
Coordination: INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE
Beneficiary of which INSA Rennes is a third party: INRIA
Duration: 42 months from January 1, 2018
H-REALITY
Most of today's digital content is based solely on visual and auditory stimuli. The sense of touch is still much less exploited than other sensory modalities. Yet without this sense of touch, the experience of interacting with virtual environments is less accomplished, and even less intuitive.
The vision of the H-Reality project is to enhance the sense of presence in virtual reality by offering haptic virtual reality.
The expected results are to offer an innovative sensory experience in which the geometry, texture and dynamics of objects are experienced in a similar way to those in the real world.
__________
Themes: IT/Robotics
Laboratory: IRISA
Funder(s): Commission Européenne, H2020 Program
Coordination: THE UNIVERSITY OF BIRMINGHAM
Beneficiary of which INSA Rennes is a third party: CNRS
Duration: 36 months from October 1, 2018
TACTILITY
The aim of the European Tactility project is to enrich user interaction in virtual reality through the design of innovative tactile feedback. The main scientific challenge is to include rich and meaningful tactile information in new interaction systems thanks to a closed-loop tactile interaction technology with virtual environments. This new technology, based on electro-stimulation in the user's hand, aims to mimic the characteristics of natural tactile feedback, thus enhancing the quality of the immersive virtual reality experience used locally or remotely.
This research project should lead to a new generation of high-quality interactive systems for local and remote applications (e.g., telemanipulation). Ultimately, the technologies developed as part of Tactility will enable a virtual reality experience enriched by new sensory feedback.