Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Safe Perception And Navigation for Autonomous Robots (SPANAR)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Netherlands
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-12-01
End date: 2020-03-31
Duration (months): 4.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Mobile robotic automation is one of the fastest growing international markets. Applications are spread across a range of verticals including logistics, industrial, agricultural and maintenance industries, driven by the need to reduce costs for European providers to compete with alternatives in lower labour-cost areas. Furthermore, with the digital transformation of the European economy while the effective workforce is aging and shrinking , there is a significant drive to increase productivity and quality of highly repetitive low-skilled jobs by robotics. The major challenge that impedes growth of the mobile robotics market is the ability to navigate around unmapped territory . Additional factors are high initial cost and public acceptance. Safe Perception And Navigation for Autonomous Robots proposes a single module for safe and accurate navigation disrupting the mobile robotics market. SPANAR increases the mobile robots utilization potential at a lower cost than existing solution, whilst allowing for increased safety. Its unique combination of sensors and software opens up new markets, allowing for mobile robots in highly dynamic environments, in all-weather conditions, and with combined in- and outdoor functionality. To penetrate global markets, the module is sold to OEMs and tier 1 suppliers of mobile robotics through online sales and distribution. Manufacturing is done inhouse and through trustworthy partners capable of mass-production. Avular will investigate four sub-markets in this feasibility study: warehousing automation, last-mile delivery, inspection & maintenance, and agricultural robotics.

Keywords: mobile robotics,slam,functional safety,3d vision,radar
An eco-friendly ultrasonic system to control and prevent algal blooms and zebra mussel invasion in small and large water surfaces (BLACK HAT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Spain
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2019)
Start date: 2019-08-01
End date: 2020-01-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

An algal bloom is a rapid increase in the population of algae in an aquatic system and can be harmful for the environment, human health and aquatic life due to the production of toxins and the consequences of accumulated biomass. The zebra mussel is an increasingly problematic invasive organism found in waterbodies difficult to control due to their fast proliferation. Both invasive species can cause in fresh water systems taste and odour issues, operational problems by clogging filters and pumps and disrupt the ecosystem. There is an urgent need to efficient control their proliferation, since current methods are expensive, cumbersome and environmentally unfriendly. Solving systems engineering (S2E) is an advanced services enterprise in electronic engineering, specialized in integrated electronic system design, R+D projects and energetic advisory. We have developed a cost-efficient and eco-friendly floating buoy (BLACK HAT) based on ultrasonic technology to control and prevent algal blooms and zebra mussel plagues in small and large water surfaces. The system operates autonomously on solar energy, reducing electricity consumption, carbon foot print and operational costs. In addition, the device emits in a frequency bandwidth that kills efficiently different types of algae and zebra mussel without damage fish and plants. We have planned technical and commercial activities to ensure a success entry of BLACK HAT into the market. With BLACK HAT, we forecast a gross profit of €23.8 million after five years of commercialization and the creation of 22 new positions within in our company to satisfy growth needs.

Keywords: algal bloom,zebra mussel,ultrasounds,water reservoirs,solar energy,algae control,water,water surfaces,eco friendly
Safe, Secure, High Performing Multi-Passanger and Multi-Commercial Uses Affordable EVs (Multi-Moby)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Action type: Innovation actions
Partnership: EGVI (cPPP)
Countries involved: Italy,Italy,Israel,Italy,Spain,Austria,Belgium,France,United Kingdom
Call: Next generation electrified vehicles for urban and suburban use (H2020-LC-GV-2020, 2020)
Start date: 2020-12-01
End date: 2023-11-30
Duration (months): 36.0
Total project cost (EUR): 7774025.0
EU funding (EUR): 5731092.5
Participants: 9
Project status: SIGNED

MULTI-MOBY is an ambitious proposal aiming at quickly finalizing the results of a cluster of GV and FoF EU projects addressing the development of technology for safe, efficient and affordable urban electric vehicles. A fleet of multi-passenger and multi-purpose commercial vans will be manufactured assuring: • Best-in-class safety for occupants and Vulnerable Road Users (VRUs) protection as required per the M1/N1categories, • Autonomous capabilities by adopting the most on-the-road-experimented sensing and computational platforms, with the addition of low-cost scanning and night vision functionalities, • High efficiency 48V and 100V powertrains adopting the most advanced power semiconductor technologies amongst Si, SiC and GaN, • Robust battery packs based on hybrid cells with specific energy close to 200Wh/kg at pack level, • On-board charger integrating a DCxxV-DC12V converter optimized for the two voltages of interest, • A standardized low cost charging system able to operate DC charging at 48V and 100V, • Advanced Electric Electronic (EE) architecture with implemented secured procedures for remote updates and upgrades of the firmware and predictive maintenance, by applying advanced artificial intelligence (AI) methodologies, • Application of low-cost, flexible, agile and lean manufacturing through a low-investment micro-factory concept, • Competitive price positioning with respect to existing and forthcoming fully electrical urban passenger and commercial vehicles.

Keywords: efficiency,low voltage,modular,integrated,low cost,mass manufacturing
iNteracting netwOrk of inTelligence and securIty practitiOners with iNdustry and acadEmia actorS (NOTIONES)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure societies - protecting freedom and security of Europe and its citizens
Theme: Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
Action type: Coordination and support actions
Countries involved: Ukraine,Germany,Israel,Spain,Estonia,Italy,Austria,Italy,Italy,Italy,Spain,North Macedonia,Finland,Bosnia and Herzegovina,Bulgaria,Poland,Sweden,Belgium,Slovakia,Georgia,Latvia,France,United Kingdom,Portugal,Denmark
Call: Pan-European networks of practitioners and other actors in the field of security (H2020-SU-SEC-2020, 2020)
Start date: 2021-09-01
End date: 2026-08-31
Duration (months): 60.0
Total project cost (EUR): 3471861.25
EU funding (EUR): 3471861.25
Participants: 31
Project status: SIGNED

NOTIONES is a Latin lemma meaning “notions, ideas, investigations, cognisance” and therefore refers to “being informed”. The Call requires (a) to build a network of practitioners from security and intelligence services of EU MS & AC that has the objective (b) to support the needs of the security and intelligence services of the MS & AC for future security research programming. To address these requirements, NOTIONES consortium includes: (a) 15 practitioners from military, civil, financial, judiciary, local, national and international polices, coming from 9 EU MS and 6 AC. These practitioners, together with the other consortium members, grant a complete coverage of the 4 EU main areas: West Europe (PT, ES, UK, FR, IT, DE, AT), North Europe (FI, DK, SE, EE, LV), Middle Europe (PO, SK, UK), Middle East (IL, TR, GE, BG, BA, MK) for a total of 21 countries; (b) experts in security research programming. The NOTIONES’ S&T Coordinator is one of the 50 members of ESRAB and of the 64 members of ESRIF, the two Committees charged by the EC to outline its funding policy related to security research programming. In addition to that, the NOTIONES’ consortium includes 5 partners of PYTHIA and SOLOMON (Z&P, EXPSYS, ICSA, BDI, LESO), the two projects outlining the EDA/EC future defence research programming. The monitoring of technologies and the definition of requirements and recommendations for their industrialization will provide a great advantage to practitioners in the fields of intelligence and security. Through an iterative cycle, the output recommendations will be synthesized into specifications that can be provided to industry and academy across Europe, providing tangible benefits to those organisations engaged in intelligence and security. The results of the NOTIONES project, which has a lifetime of five years, will be presented to the broad intelligence community in workshops and conferences and will contribute to the definition of further security and intelligence research

Keywords: security and intelligent services
The Fate of Excitation Energy in Photoinhibited Chloroplasts (xFATE)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Individual Fellowships (IF)-Standard European Fellowships
Action type: Marie Skłodowska-Curie actions
Panel: Life Sciences
Countries involved: Netherlands
Call: Individual Fellowships (H2020-MSCA-IF-2017, 2017)
Start date: 2018-03-01
End date: 2020-02-29
Duration (months): 24.0
Total project cost (EUR): 165598.8
EU funding (EUR): 165598.8
Participants: 1
Project status: CLOSED

Plants use light energy to reduce carbon from CO2 to produce sugars. But what happens if too much light is absorbed? Part of the energy is thermally dissipated in a process called non-photochemical quenching; nevertheless excessive absorption inevitably leads to Photosystem II (PSII) damage and photoinhibition. This is followed by degradation and replacement of the reaction center core. Interestingly, photoinhibition is accompanied by a decrease in fluorescence yield, indicating an increase of thermal energy dissipation, leading to the proposal that it functions as a photoprotective mechanism. The molecular mechanism behind this energy dissipation is, however, unknown and the aim of this project is to determine the fate of excitons during photoinhibition. We plan to investigate two scenarios of photoinhibition: one in which the PSII centers are damaged and not degraded, and a second in which the PSII centers are damaged and subsequently degraded. We will use a hypothesis-driven approach for the first scenario and investigate whether the altered thermodynamics of the inhibited PSII can explain changes in fluorescence emission yield and kinetics. The second scenario explores the mechanism that dissipates excitation energy in the absence of the PSII core. Both situations will be probed using spectrally- and temporarily-resolved fluorescence and transient absorption spectroscopy combined with biochemical analyses. Finally, we will use single-molecule spectroscopy on isolated PSII to reveal heterogeneity of PSII damage during photoinhibition. Potentially unraveling new mechanisms of protection against excessive energy absorption, crucial in natural environments where photoinhibition occurs regularly, holds promises not only for our fundamental understanding of energy conversion, but also for future applications in algae and crop cultivation.

Keywords: plant biology,photosynthesis,photoprotection,electron transfer,excitation transfer
Design Evaluation and Performance Assessment of Rotorcraft Technology by 2050 (DEPART2050)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Clean Sky 2
Action type: Research and Innovation actions
Partnership: CS2 (Art-187)
Countries involved: Italy,Spain,Netherlands,United Kingdom
Call: Airport and ATS Level Assessment (Rotorcraft) (H2020-CS2-CFP05-2016-03, 2016)
Start date: 2017-10-02
End date: 2021-10-01
Duration (months): 48.0
Total project cost (EUR): 579775.0
EU funding (EUR): 579775.0
Participants: 4
Project status: CLOSED

The aim of project DEPART2050 is to undertake novel rotorcraft technology assessments (Tilt rotor aircraft and Compound rotorcraft), utilising a flexible and extensible modular multi-disciplinary framework. The objective of the work in the project will be to undertake at the airport and ATS level, assessments of environmental (emissions and noise) and mobility (connectivity and productivity) improvements that may be accrued through replacement of reference technology over the designated time scales (2015/2020/2035/2050). Within CS2, the Technology Evaluator (TE) is positioned as a dedicated evaluation platform, with a critical role of assessing the environmental impact of the technologies developed. Apart from assessing the level of success achieved by the novel technologies and their contribution to well-defined environmental goals, the TE is also tasked with establishing any societal benefits that may be accrued. Therefore based on requirements of the call, Project Depart2050 will focus on assessing and establishing the impact of introducing novel rotorcraft concepts at the airport and air transport system level. The comparison will be made against a selected baseline technology in terms of impact on the environment and mobility. The consortium will include NLR, ANOTEC, and University of Padua and will be led by Cranfield University. The partners have been specially chosen based on their individual strengths in the field of research and their past experience in EU projects.

Keywords: rotorcraft,tilt rotor aircraft,compound rotorcraft,environment,mobility,assessments
Energy HarveStorers for Powering the Internet of Things (HARVESTORE)

Framework: Horizon 2020 — Excellent Science
Programme: Future and Emerging Technologies (FET)
Theme: EIC Pathfinder
Destination: Emerging themes and communities
Action type: Research and Innovation actions
Countries involved: Austria,Spain,Spain,Greece,Belgium,France,France,France,Denmark,United Kingdom,United Kingdom
Call: FET Proactive: emerging paradigms and communities (H2020-FETPROACT-2018-01, 2018)
Start date: 2018-12-01
End date: 2024-05-31
Duration (months): 66.0
Total project cost (EUR): 7006200.0
EU funding (EUR): 7006200.0
Participants: 13
Project status: SIGNED

A breakthrough in micro-energy harvesting and storage technologies is required to cover the increasing demand of autonomous wireless sensor nodes (WSN) for the future Internet of Things (IoT), which is considered one of the five technologies that will change the world by connecting 27 billion devices and generating €2 trillion market by 2025. The HARVESTORE project aims to power these IoT nodes from ubiquitous heat and light sources by using nano-enabled micro-energy systems with a footprint below 1cm3. Using disruptive concepts from the emerging Nanoionics and Iontronics disciplines, which deal with the complex interplay between electrons and ions in the nanoscale, a radically new family of all-solid state micro-energy sources able to harvest and store energy at the same time will be developed. This new devices will be called “μ-harvestorers” (μHS). In order to enable this science-to-technology breakthrough, our nano-enabled μ-HSs will be integrated in silicon technology. This will allow reaching the highly dense features and scalability required for a real miniaturization and massive deployment that will show their viability as a new technological paradigm of embedded energy. The HARVESTORE project addresses this challenging objective by building an interdisciplinary research consortium that includes consolidated and emergent leading researchers in modelling, microfabrication, materials science and energy together with high-tech pioneer SMEs with unique capabilities to develop and deploy IoT nodes for real applications. Moreover, the structure and communication strategy have been designed to make HARVESTORE a lighthouse project for boosting this novel micro-energy paradigm and building around an innovation ecosystem founded on emerging Nanoionics and Iontronics applied to energy.

Keywords: nanoionics,iontronics,solid state ionics,harvesting,thermoelectrics,solid state batteries,solid oxide photovoltaics,micro solid oxide fuel cells
INCREASING MICROALGAE BIOMASS FEEDSTOCK BY VALORIZING WINE GASEOUS AND LIQUID RESIDUES (REDWine)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Theme: Public-private partnerships
Destination: Bio-based Industries
Action type: Innovation actions
Partnership: BBI (Art-187)
Countries involved: Spain,Spain,Germany,Ireland,France,France,Netherlands,Portugal,Portugal
Call: Use biogenic gaseous carbon to increase feedstock availability for the industry (H2020-BBI-JTI-2020, 2020)
Start date: 2021-05-01
End date: 2025-04-30
Duration (months): 48.0
Total project cost (EUR): 7525555.0
EU funding (EUR): 5676744.0
Participants: 13
Project status: SIGNED

Motivated by an urgent need to mitigate climate change and, particularly, to reduce greenhouse gas emissions from food value chains, REDWine focuses on the utilization of biogenic carbon dioxide (CO2) from the wine fermentation process for microalgae biomass production and valorisation. A powerful synergy across bio-based industries results in REDWine’s innovative circular business model, which allows wine manufacturers to efficiently treat their liquid and gaseous effluents while profitably diversifying their revenues through the valorisation of Chlorella biomass into multiple high-value ingredients. The REDWine concept will be realized through the establishment of an integrated ‘Living Lab’ demonstrating the technical and economic viability of a system for collection and storage of the off-gas and liquid effluents of a 20,000L wine fermenter and its adaptation to microalgae cultivation and energy efficient harvesting technologies, in order to use 90% of the CO2 collected, to produce biomass. REDWine will demonstrate a circular concept through the development of a simple biorefinery to be deployed in the winery which will yield sustainable and cost competitive ingredients for food formulations (protein and fatty acids), cosmetics (peptides, carotenoid rich oils and active polysaccharides), agriculture (carbohydrates as vine biostimulants) and wine production (proteins for wine clarification). The proposed REDWine solution is expected to reduce the GHG emissions of the entire wine production value chain by at least 31% while potentially generating over €15M in revenues and creating 45 new jobs for a 7ML size winery on a 3-year time horizon. REDWine is led by primary producers, the AVIPE wine producers’ association, in partnership with 11 other very committed entities, including 7 SMEs, 1 LE, 2 RTOs and 1 UNI. The proposed consortium assures the all the needed multidisciplinary knowledge and a level of redundancy required for effective implementation of the project.

Keywords: circular economy,wine industry,microalgae,biorefinery,carbon dioxide,winery liquid effluent
Robotics Enabling Fully-Integrated Logistics Lines for Supermarkets (REFILLS)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Partnership: Robotics SPARC (cPPP)
Countries involved: Germany,Italy,Germany,Germany,Ireland,Israel,Italy,Switzerland
Call: Advanced robot capabilities research and take-up (H2020-ICT-2016-1, 2016)
Start date: 2017-01-01
End date: 2020-12-31
Duration (months): 48.0
Total project cost (EUR): 4388087.5
EU funding (EUR): 3692850.0
Participants: 8
Project status: CLOSED

While online grocery stores are expanding, supermarkets continue to provide customers with the sensory experience of choosing goods while walking between display shelves. Therefore, retail and logistics companies are concerned with making the shopping experience more comfortable and exciting while, at the same time, using technology to reduce costs and improve efficiency. The REFILLS project aims at developing robotic systems able to address the in-store logistics needs of the retail market. Three scenarios building on top of each other are considered. In the 1st scenario, mobile robots inspect shelves and generate semantic environment maps for layout identification and store monitoring. The 2nd scenario employs robot arms for autonomous sorting of articles in the backroom and for assisting human clerks with shelf refilling in the shop. In the 3rd scenario, the autonomy of the robot is strengthened, resulting in a robotic clerk capable of manipulating articles varying in shape, surface, fragility, stiffness and weight, and refill shelves without human intervention. These scenarios trigger a number of research and technology challenges that are tackled within REFILLS. Information on the supermarket articles is exploited to create powerful knowledge bases, which are used by the robots to identify shelves, recognize missing or misplaced articles, handling them and navigate the shop. Reasoning allows robots to cope with changing task requirements and contexts, and perception-guided reactive control makes them robust to execution errors and uncertainty. A modular approach is adopted for the design of cost-efficient robotic units. The work plan will generate exploitable results through three integration and evaluation phases. A final demonstration will take place at a real retail store. In sum, REFILLS is committed to generating wide impact in the retail market domain and beyond through the development of efficient logistics solutions for professional use in supermarkets.

Keywords: object handling,mobile manipulation