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H2020 Projects

H2020 Projects

The H2020 Program sustains projects along the innovative chain and wants to organize the fundings in favor of growth. This Program is based on three priorities : Scientific Excellence, Industrial Primacy and societal challenges.

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Rising STARS

RISE International Network for Solutions Technologies and Applications of Real-time Systems

A runtime parallel framework for advanced real-time systems

There's a need for runtime parallel frameworks that are compatible with high-performance computing (HPC) and can guarantee that decisions made at runtime maintain system correctness and proper timing. To meet this need, the EU-funded Rising STARS project aims to create a parallel programming framework for the development and execution of advanced, large-scale cyber-physical systems with HPC and real-time requirements. The project will also investigate new parallel programming extensions that will make it possible for developers to define the system's real-time properties in terms of periodicity and timing constraints. The framework has the potential to enhance the performance of giant telescopes, the Square Kilometre Array and critical real-time embedded systems.

The main goal of Rising STARS is to enable 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. Overall, there is an urgent necessity to develop run-time parallel frameworks, compatible with HPC, capable of guaranteeing that decisions made at run-time maintains the guarantees about system correctness and timing behavior. These new run-time capabilities however, cannot preclude the ability of run-times to dynamically adapt the execution to new working conditions or changing modes of operation of CPS to maximise the utilisation and performance capabilities of parallel heterogeneous 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 in the parallel programming models with the objective of improving productivity in CPS software development. Exposing the data-acquisition to the programmer (by including it into the parallel programming model) is also key to overlap data-transfers with computation. Another objective of the project is to add this capability in existing programming models for HPC and to investigate new parallel programming extensions to allow developers to define the real-time properties of the system 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 processsing for SKA, and critical real-time embedded systems.

https://cordis.europa.eu/project/id/873120

https://marie-sklodowska-curie-actions.ec.europa.eu/

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Themes: Electronics and Telecommunications

Laboratory: IETR

Fundings: European Commission by H2020 Program, H2020-MSCA-RISE-2019, GA 873120

Coordinator : Observatoire de Paris

Participants : BARCELONA SUPERCOMPUTING CENTER CENTRO NACIONAL DE SUPERCOMPUTACION (Spain), THALES (France), MICROGATE SRL (Italy), ARIANEGROUP SAS (France), NVIDIA SWITZERLAND AG (Switzerland) 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)

Principal Investigator for INSA Rennes: Jean-François NEZAN

Overall budget: € 634 800

Budget for INSA Rennes: € 138 000

Duration: 70 months from 01/02/2020

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NANO-EH

 

The significant broadening of the wireless communication spectrum in Europe makes the radio frequency (RF) energy scavenging a highly desirable way forward for clean powering of the next-generation Internet-of-thing (IoT). To enable next-generation, self-powered (autonomous) wireless devices the key challenge is to capture ambient RF energy supply from energy harvesting sources, while integrating new devices for energy storage, in the miniaturised system operation.

NANO-EH, a new EIC Pathfinder project, will enhance emerging classes of energy harvesting nanomaterials, for integration into miniaturized energy harvesting and storage devices (rectennas, pyroelectric devices, supercapacitors, photovoltaics, etc.), while surpassing the current paradigm by developing non-toxic and rare earth/lead-free materials exhibiting CMOS-compatibility, thus elaborated on Si substrates, and scalability for low cost and large-scale manufacturing. This can be especially useful in the context of communication technologies and further development of Internet of Things (IoT) for newer application such as personalised medicine of the future, smart farming and environmental monitoring.

The NANO-EH project was selected in the FET Proactive: emerging paradigms and communities (FETPROACT-EIC-05-2019) call under 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 large industry) from 4 countries (Ireland, Romania, Italy and France).

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Themes: Materials Science, Materials Engineering

Laboratory: Institut FOTON

Funding(s): European commission, H2020 program

Coordinator: UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK

Partners : INSTITUTUL NATIONAL DE CERCETAREDEZVOLTARE PENTRU  MICROTEHNOLOGIE (Roumanie),  ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA (Italie), UNIVERSITA POLITECNICA DELLE MARCHE (Italie), INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE RENNES (France), THALES SA (France), TE-OX (France), LUNA GEBER ENGINEERING SRL (Italie), NANOM MEMS SRL (Roumanie), VERTECH GROUP (France)

Project leader for INSA Rennes: Olivier DURAND

Total budget for the project : 3 929 360.00 €

Budget INSA Rennes : 300 000 €

Duration: 36 months from 01/10/2020

 

 

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DROP IT

DROP-IT proposes to use flexible substrate inkjet deposition technology for optoelectronic and photonic applications by exploiting the significant potential of lead-free perovskite-based materials.
The technology studied in the DROP-IT project is planned 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 to target manufacturing techniques: (i) large-scale, (ii) sustainable and (iii) low-cost.

DROP-IT relies on an interdisciplinary consortium with complementary expertise to achieve these objectives. The team of the Institut FOTON hosted at INSA Rennes will use its simulation skills (DFT, or empirical) in the field of perovskite-based materials and hetostructures, and also in tasks related to the analysis of experimental results.

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Themes : Materials science, materials engineering, condensed matter physics

Laboratory: Institut FOTON

Fundings: European Commission by H2020 Program

Coordinator: UNIVERSITAT DE VALENCIA

Participants: UNIVERSITAT DE VALENCIA (Espagne), UNIVERSITAT DE BARCELONA (Espagne), UNIVERSITAT JAUME I DE CASTELLON (Espagne), EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH (Suisse), FUNDACJA SAULE RESEARCH INSTITUTE (Pologne),  SAULE SP ZOO (Pologne), AVANTAMA AG (Suisse), INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE RENNES (France)

Principal Investigator for INSA Rennes: Laurent PEDESSEAU

Overall Budget: 3,5 Millions d’€

Budget for INSA Rennes: 387 875€

Duration: 36 months from 01/11/2019

 

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IMAGINE

Today's robots are good at executing programmed motions, but they do not understand their actions in the sense that they could automatically generalize them to novel situations or recover from failures.

IMAGINE seeks to enable robots to understand the structure of their environment and how it is affected by its actions. "Understanding" here means the ability of the robot (a) to determine the applicability of an action along with parameters to achieve the desired effect, and (b) to discern to what extent an action succeeded, and to infer possible causes of failure and generate recovery actions.
This scientific objective is pursued in the context of recycling of electromechanical appliances.

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Themes: Digital Technologies/Robotics

Laboratory: IRISA

Fundings: European Commission by H2020 Program

Coordinator: UNIVERSITAET INNSBRUCK

Participants: 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

Principal Investigator for INSA Rennes: Maud MARCHAL

Overall Budget: 3,8 Millions d’€

Budget for INSARennes : 628 550€

Duration: 50 months from 01/01/2017

 

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CERBERO

ICT is embedded and pervasive into our daily lives. The notion of Cyber Physical Systems (CPS) has emerged: embedded computational collaborating devices, capable of controlling physical elements and responding to humans.

The Cross-layer modEl-based framework for multi-oBjective dEsign of Reconfigurable systems in unceRtain hybRid envirOnments (CERBERO) project aims at developing a design environment for CPS based of two pillars: a cross-layer model based approach to describe, optimize, and analyze the system and all its different views concurrently; an advanced adaptivity support based on a multi-layer autonomous engine.

 

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Themes: Electronics and Telecommunications

Laboratory: IETR-IMAGE équipe Vaader

Fundings: European Commission by H2020 Program 

Coordinator: IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD

Participants: 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

Principal Investigator for INSA Rennes: Daniel MENARD

Overall budget: 5 Millions d’€

Budget for INSA Rennes: 348 125€

Duration: 38 months from 01/01/2017

 

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EURHISFIRM

EURHISFIRM designs a world-class research infrastructure (RI) to connect, collect, collate, align, and share detailed, reliable, and standardized long-term financial, governance, and geographical data on European companies.

The RI provides the tools for long-term analysis highlighting the dynamics of the past and the way those dynamics structure our present and future.

EURHISFIRM develops innovative models and technologies to spark a “Big data” revolution in historical social sciences and valorize Europe’s cultural heritage.

In this project, at INSA Rennes, IRISA team works on building a document recognition system using Artificial Intelligence to extract high-quality data from historical serial printed sources: stock exchange yearbooks and price lists. Due to the large variety of documents, a flexible and easy-to-adapt document recognition system must be designed. The system is therefore based, in interaction with experts on those historical sources, on a modelling of knowledge not only at the page level, but also at the collection level. Thus, redundancies between pages are used to make the system more reliable and reduce manual corrections.

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Themes: Recognition of digitized serial historical document collections

Laboratory: IRISA

Fundings: European Commission by H2020 Program

Coordinator: ECOLE D'ECONOMIE DE PARIS

Participants: 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

Principal Investigator for INSA Rennes: Bertrand COUASNON

Overall budget: 3,4 Millions d’€

Budget for INSA Rennes: 215 000€

Duration: 36 months from 01/04/2018

 

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XP-RESILIENCE

It has been demonstrated the tremendous impact of natural hazards, such as earthquakes, tsunamis, flooding, etc, which triggered technological  accidents, referred to as natural-technological (NaTech) events.

The NaTech problem is quite relevant as up to 10% of industrial accidents, involving the release of Chemical, Biological, Radiological, Nuclear and high-yield Explosives (CBRNE) substances, were triggered by natural hazards.

The main objectives of XP-Resilience is to develop state-of-the-art modelling tools and protection (base isolator) systems based on metamaterial for the analysis and disaster reduction of Complex Engineering Systems such as industrial plants subjected to exceptional loading (earthquake, Tsunami and fire). The project involve 14 ESR (Early Stage Researcher), 2 of them are allocated to INSA Rennes( LGCGM). At INSA Rennes, LGCGM is in charge of the development of macro-element for soil-structure interaction for deep foundation systems and pipe/elbow finite elements for the full nonlinear analysis of energy infrastructures.

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Themes: structural engineering

Laboratory: LGCGM

Fundings: European Commission by H2020 Program

Coordinator: UNIVERSITA DEGLI STUDI DI TRENTO

Participants: 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

Principal Investigator for INSA Rennes: Mohammed Hjiaj

Overall Budget: 3,4 Millions d’€

Budget for INSA Rennes: 525 751€

Duration: 48 months from 09/01/2016

 

INSA Rennes, because of the involvment of its employees can be also involved in european projects without being beneficiary but just in being third party to another entity which is the beneficiary.
 

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ACROSS

The pace at which data are generated by scientific experiments and large simulations poses new challenges in terms of capability of efficiently and effectively analysing massive data sets.
Artificial Intelligence, and more specifically Machine Learning (ML )and Deep Learning (DL), recently gained momentum for boosting simulations’ speed. The ACROSS project (HPC Big DAta ArtifiCial Intelligence cross Stack PlatfoRm TOwards ExaScale) will codesign and develop an High Performance Computing (HPC), Big Data (BD), and Artificial Intelligence (AI) convergent platform, supporting applications in the Aeronautics, Climate and Weather, and Energy domains.

ACROSS will combine traditional HPC techniques with AI (specifically Machine Learning/Deep Learning) and BD analytics techniques to enhance the application test case outcomes (e.g., improve the existing operational system for global numerical weather prediction, climate simulations, develop an environment for user-defined in-situ data processing, improve and innovate the existing turbine aero design system, speed up the design process, etc.). The performance of ML/DL will be accelerated by using dedicated hardware devices.

https://www.acrossproject.eu/

https://www.facebook.com/acrossprojecteu

https://twitter.com/across_project

Themes: Data processing / Big data / Deep learning

Laboratory: IRISA / INRIA

Fundings: This project has received funding from the European High-Performance Computing Joint Undertaking Joint Undertaking (JU) under grant agreement No 955648. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and Italy, France, Czech Republic, United Kingdom, Greece, Netherlands, Germany, Norway

Coordinator: FONDAZIONE LINKS - LEADING INNOVATION & KNOWLEDGE FOR SOCIETY (ITALY)

Beneficiary whose INSA Rennes is the Third Party: INRIA

Duration: 36 months from 01/03/2021

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PEROCUBE

The EU H2020-funded project PeroCUBE aims at developing flexible, lightweight perovskite-based electronics, creating new commercial opportunities for the lighting, energy and telecom industries. The consortium brings together 14 industrial and academic partners from 10 European countries. This innovative collaboration, which engages the industry, academia and research organizations, represents the whole value chain and breeding ground needed to develop a new generation of sustainable perovskite-based devices. Already seen as a promising game-changer for the energy sector, this European consortium will allow the demonstration of the technology’s viability as a commercial product. The organic-inorganic metal halide 3D and lower dimensional semiconductors (usually referred to these days as perovskite), already used in PV technologies, have a strong potential to dominate the OLAE (Organic and Large Area Electronics) market by providing advanced lighting solutions (PE-LED). PeroCUBE has two main objectives: producing efficient, simple and low cost light sources closer to natural light sources and supporting the development of more stable and sustainable, efficient and low-cost solar panels. By combining these promising technologies, the consortium seeks to develop a new generation of Visual Light Communication (VLC) and LiFi (light fidelity) standard, widening the scope for human centric lighting (HCL), data transmission, wearables and IOT applications that do not cause harm to humans nor the environment.

The CNRS partner is a joint team between two CNRS laboratories : Institut FOTON (6082 ; INSA Rennes) et ISCR (6226 ; Université Rennes 1).

  • Contact at ISCR, CNRS Director of research Claudine KATAN (claudine.katan@univ-rennes1.fr)
  • Contact at Instutut FOTON, Professor Jacky EVEN (jacky.even@insa-rennes.fr)
  • cordis.europa.eu/project/id/861985

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Themes: Organic and Large Area Electronics based on perovskite materials

Laboratory: Institut FOTON UMR CNRS 6082

Fundings: European Commission by H2020 Program NMBP

Coordinator: CSEM CENTRE SUISSE D'ELECTRONIQUE ET DE MICROTECHNIQUE SA - RECHERCHE ET DEVELOPPEMENT (Suisse)

Beneficiary whose INSA Rennes is the Third Party: CNRS – DR17 Délégation Bretagne Pays de Loire

Duration: 42 months from 01/04/2020

 

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POLLOC

For energy-efficient computation beyond the current CMOS paradigm, tweaking the current nanoelectronics roadmap will be neither enough nor sustainable, but requires to completely rethink transistor devices and circuits. Leveraging recent breakthroughs in perovskite nanomaterials and room-temperature exciton-polariton devices achieved by the consortium partners, we believe that now the time has come to take this beyond the scieFor energy-efficient computation beyond the current CMOS paradigm, tweaking the current nanoelectronics roadmap will be neither enough nor sustainable, but requires to completely rethink transistor devices and circuits. Leveraging recent breakthroughs in perovskite nanomaterials and room-temperature exciton-polariton devices achieved by the consortium partners, we believe that now the time has come to take this beyond the scientific publication level and build a novel technology that can leapfrog established architectures.

Within POLLOC we aim for the development of a complete technology platform for universal photonic information processing based on exciton polariton condensates in microcavities with inorganic perovskites. We will validate this new technology with respect to the key parameters power, energy-efficiency, size, frequency, and cost. In the digital processing domain, we aim for optically programmable, cascadable logic gates with less than 100 attojoule switching energy and sub-picosecond switching speed. To fulfil the requirements of this disruptive all-optical device and circuitry approach, POLLOC assembles the whole gamut of necessary expertise from chemistry, physics, theory and technology. The carefully chosen, well-balanced consortium consists of leading partners from academia, SME and large end-user with excellent track records that are uniquely positioned to tackle the ambitious goal to unleash the potential disruptive performance gains of this technology and to establish a new kind of digital and analog circuitry paradigm.

The CNRS partner is a joint team between two CNRS laboratories : Institut FOTON (6082 ; INSA Rennes) et ISCR (6226 ; Université Rennes 1).

  • Contact at ISCR, CNRS Director of research Claudine KATAN, (claudine.katan@univ-rennes1.fr)
  • Contact at Institut FOTON, Professor Jacky EVEN (jacky.even@insa-rennes.fr)
  • cordis.europa.eu/project/id/899141

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Themes: An all-optical photonic approach will boost computational energy efficiency

Laboratory: Institut FOTON UMR CNRS 6082

Fundings: European Commission by H2020 Program Fetopen

Coordinator: IBM (Zurich, Switzerland)

Beneficiary whose INSA Rennes is the Third Party: CNRS – DR17 Délégation Bretagne Pays de Loire

Duration: 36 months from 01/10/2020

 

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CROWDBOT

CROWDBOT will enable mobile robots to navigate autonomously and assist humans in crowded areas. Today’s robots are programmed to stop when a human, or any obstacle is too close, to avoid coming into contact while moving. This prevents robots from entering densely frequented areas and performing effectively in these high dynamic environments.

CROWDBOT aims to fill in the gap in knowledge on close interactions between robots and humans during navigation tasks. The project considers three robotic platforms: a semi-autonomous wheelchair, the commercially available Pepper robot andthe under development robot cuyBot. CROWDBOT gathers the required expertise to develop new robot capabilities to allow robots to move in a safe and socially acceptable manner.

The work of INSA Rennes, by the IRISA team, relies on the semi-autonomous and social navigation of a wheelchair in a crowded space, as well as on human-robot interactions.

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Themes: Assistance and service robotics, human-robot interaction, navigation

Laboratories: Inria/IRISA

Fundings: European Commission by H2020 Program

Coordinator: INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE

Beneficiary whose INSA Rennes is the Third Party: INRIA

Duration: 42 months from 01/01/2018


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H-REALITY

“Touch comes before sight, before speech. It is the first language and the last, and it always tells the truth” (Margaret Atwood), yet digital content today remains focused on visual and auditory stimulation. Even in the realm of VR and AR, sight and sound remain paramount. In contrast, methods for delivering haptic (sense of touch) feedback in commercial media are significantly less advanced than graphical and auditory feedback. Yet without a sense of touch, experiences ultimately feel hollow, virtual realities feel false, and Human-Computer Interfaces become unintuitive. Our vision is to be the first to imbue virtual objects with a physical presence, providing a revolutionary, untethered, virtual-haptic reality: H-Reality.

The result will be a sensory experience where digital 3D shapes and textures are made manifest in real space via modulated, focused, ultrasound, ready for the untethered hand to feel, where next-generation wearable haptic rings provide directional vibrotactile stimulation, informing users of an object's dynamics, and where computational renderings of specific materials can be distinguished via their surface properties.

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Themes: Digital Technologies / Robotics

Laboratory: IRISA

Fundings: European Commission by H2020 Program

Coordinator: THE UNIVERSITY OF BIRMINGHAM

Beneficiary whose INSA Rennes is the Third Party: CNRS

Duration:36 months from 10/01/2018

 

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TACTILITY

TACTILITY, a multidisciplinary innovation and research action entitled “Tactile feedback enriched interaction through virtual reality and beyond”, has the overall aim of including rich and meaningful tactile information into novel interaction systems through technology for closed-loop tactile interaction with virtual environments. By mimicking the characteristics of the natural tactile feedback, it will substantially increase the quality of immersive Virtual Reality (VR) experience used locally or remotely (tele-manipulation).

This research and innovation action shall result in a next generation of interactive systems with higher quality experience for both local and remote (e.g., tele-manipulation) applications. Ultimately, TACTILITY will enable high fidelity experience through low-cost, user friendly, wearable and mobile technology.

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Themes: Digital Technologies / Robotics/ Virtual Reality

Laboratory: IRISA

Fundings: European Commission by H2020 Program

Coordinator: FUNDACION TECNALIA RESEARCH & INNOVATION (Espagne/Spain)

Beneficiary whose INSA Rennes is the Third Party: INRIA

Duration: 36 months from 07/01/2019