Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Real time measurement of wear and damage in tyres to reduce accidents and enable the "tyre as a service" model (Smart-tyre)

Framework: Horizon 2020 — Industrial Leadership
Programme: Innovation in SMEs
Action type: SME instrument
Countries involved: Italy
Call: SME instrument (H2020-SMEInst-2018-2020-1, 2018)
Start date: 2019-02-01
End date: 2019-07-31
Duration (months): 6.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Several studies highlight how tyres failure or excessive wear is a critical aspect in accidents and avoiding vehicles circulating with inadequate tyres could reduce the probability of accidents of 28.5%, (56% on snow and up to 84% on wet roads). Tyre Pressure Monitoring Systems (TPMS) mandatory in new cars since 2014 only measure pressure and temperature of tyres, while the tyre industry is looking for real time monitoring of wearing status to be integrated in new intelligent tyres, enabling innovative “tyre as a service” business model or preventive maintenance. Wriggle has developed a solution capable of: i) measuring in real time the tread depth of tyres and monitor the extent of wear; ii) identifying possible damages and deformations of tyres that precede sudden failures or explosions, exploiting the physical principle of variation of electrical conductivity related to the tread thickness, without integrating any digital device in the polymeric mixture of the tyre, as currently targeted by competing solutions under development. The system can be easily installed into new vehicles by OEM or integrated into any type of existing vehicles using an ad-hoc or existing BlackBox system for after-market. Wriggle aims at licensing the commercialization of SMART-Tyre to a tyre manufacturer and licensing production of receiver to TPMS manufacturer. Considering a penetration in 5 years of 6% of available market of new light vehicles and 12% of heavy vehicles in EU and US only, Wriggle would reach in 2025 revenues of 13.6 M€ and EBIT of 8.7 M€. Wriggle targets to carry out product-fit, validate technical and cost/price assumptions, validate business model and reach MoU with one tyre manufacturer and one TPMS manufacturer for future co-development and validation to be carried out during the phase 2 to certify the SMART Tyre and demonstrate the application in long-term testing in real cases.

Keywords: tyre wearing monitoring,intelligent tyres,fleet management,tpms,preventive maintenance
ZeroPM: Zero pollution of Persistent, Mobile substances (ZeroPM)

Framework: Horizon 2020 — Societal Challenges
Programme: Climate action, environment,  resource efficiency and raw materials
Action type: Research and Innovation actions
Countries involved: Austria,Germany,Germany,Germany,Sweden,Switzerland,Greece,Sweden,Norway,Belgium,Netherlands,Luxembourg,United Kingdom
Call: Innovative, systemic zero-pollution solutions to protect health, environment and natural resources from persistent and mobile chemicals (H2020-LC-GD-2020-3, 2020)
Start date: 2021-10-01
End date: 2026-09-30
Duration (months): 60.0
Total project cost (EUR): 11616605.5
EU funding (EUR): 11616605.5
Participants: 16
Project status: SIGNED

ZeroPM will interlink and synergize prevention, prioritization and removal strategies to protect the environment and human health from persistent, mobile (PM) substances. To do this, ZeroPM will establish an evidence-based multilevel framework to guide policy, technological and market incentives to minimize use, emissions and pollution of entire groups of PM substances. To prevent pollution, ZeroPM will activate the momentum of the EU's Chemicals Strategy for Sustainability and support its implementation through the development of scientific, policy and market tools supporting essential use and mitigation of prioritized PM substances, resulting in substitution to safe and sustainable alternatives. ZeroPM will prioritize PM substances and substance groups through the development and application of robust screening and prioritization tools aimed at identifying all PM substances on the global chemical inventory. These tools will take into consideration production, use, presence in the circular economy, hazard and risk established by advancing in silico and in vitro new approach methodologies (NAM) using non-animal approaches. ZeroPM will develop next generation remediation techniques to remove prioritized PM substances from water resources, drinking water and sludge-derived products sustainably. ZeroPM unites leading researchers, regulators and green chemistry innovation experts that have been instrumental in advancing the science and awareness of PM substances, to form an exemplary multidisciplinary team. ZeroPM will deliver policy improvements, an increase in business opportunities and competitiveness, an improved livelihood for EU citizens and beyond state of the art methods, to prevent regrettable substitution and regrettable remediation of PM substance groups. ZeroPM will be the pathfinding project enabling the ambitions of the Chemical Strategy to become an on-the-ground reality, supporting the movement towards a zero pollution, toxic-free environment.

Keywords: alternatives assessment,policy development,chemical market transition
Restoration of upper limb function in individuals with high spinal cord injury by multimodal neuroprostheses for interaction in daily activities (MoreGrasp)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Theme: Content technologies and information management: ICT for digital content, cultural and creative industries
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Spain,Austria,United Kingdom
Call: Multimodal and Natural computer interaction (H2020-ICT-2014-1, 2014)
Start date: 2015-03-01
End date: 2018-05-31
Duration (months): 39.0
Total project cost (EUR): 3471452.5
EU funding (EUR): 3471452.5
Participants: 6
Project status: CLOSED

More than half of the persons with spinal cord injuries (SCI) are suffering from impairments of both hands, which results in a tremendous decrease of quality of life (QoL) and represents a major barrier for inclusion in society. Functional restoration is possible with neuroprostheses based on functional electrical stimulation (FES). However, current systems are non-intelligent, non-intuitive open loop systems without sensory feedback. MoreGrasp aims at developing a multi-adaptive, multimodal user interface including brain-computer interfaces (BCIs) for intuitive control of a semi-autonomous motor and sensory grasp neuroprosthesis to support activities of daily living in individuals with SCI. With such a system a bilateral grasp restoration may become reality. The multimodal interfaces will be based on non-invasive BCIs for decoding of movements intentions with gel-less electrodes and wireless amplifiers. The neuroprosthesis will include FES electrode arrays and different sensors to allow for implementation of predefined or autonomously learned sequences. MoreGrasp will consequently follow the concept of the user-centered design by providing a scalable, modular, user-specific neuroprosthesis together with personalized EEG recording technology. Novel multimodal software architectures including interoperability standards will be defined to integrate neuroprostheses into the field of assistive technology. Long-term end user studies will demonstrate the reliability, usefulness and impact on QoL of the MoreGrasp technology. A web-based service infrastructure including a discussion forum will be set up for assessing user priorities and screening of users’ status. The evaluation of the training and patterns of use will allow for user modeling to identify factors for successful use. The highly interdisciplinary MoreGrasp consortium consists of members from universities, industry and rehabilitation centers, which have a long history of successful cooperation.

Keywords: spinal cord injury,neuroprosthesis
Integrated oil spill response actions and environmental effects (GRACE)

Framework: Horizon 2020 — Societal Challenges
Programme: Food security, sustainable agriculture and forestry, marine and maritime and inland water research and the bioeconomy
Action type: Research and Innovation actions
Countries involved: Germany,Spain,Estonia,Estonia,Norway,Finland,Norway,Sweden,Denmark,Canada,Greenland
Call: Response capacities to oil spills and marine pollutions (H2020-BG-2015-2, 2015)
Start date: 2016-03-01
End date: 2019-08-31
Duration (months): 42.0
Total project cost (EUR): 5513252.5
EU funding (EUR): 5277554.0
Participants: 13
Project status: CLOSED

Objectives: 1) to improve the observation and predictions of oil spreading in the sea using novel on-line sensors on-board vessels, fixed structures or gliders, and smart data transfer into operational awareness systems; 2) to examine the true environmental impacts and benefits of a suite of marine oil spill response methods (mechanical collection in water and below ice, in situ burning, use of chemical dispersants, bioremediation, electro-kinetics, and combinations of these) in cold climate and ice-infested areas; 3) to assess the impacts on biota of naturally and chemically dispersed oil, in situ burning residues and non-collected oil using biomarker methods and to develop specific methods for the rapid detection of the effects of oil pollution; 4) to develop a strategic Net Environmental Benefit Analysis tool (sNEBA) for oil spill response strategy decision making. A true trans-disciplinary consortium will carry out the project. Oil sensors will be applied to novel platforms such as ferry-boxes, smart buoys, and gliders. The environmental impacts of the oil spill response methods will be assessed by performing pilot tests and field experiments in the coastal waters of Greenland, as well as laboratory tests in Svalbard and the Baltic Sea with the main focus on dispersed oil, in situ burning residues and non-collected oil. The sNEBA tool will be developed to include and overarch the biological and technical knowledge obtained in the project, as well as integrate with operational assessments being based on expertise on coastal protection and shoreline response. This can be used in establishing cross-border and trans-boundary cooperation and agreements. The proposal addresses novel observation technology and integrated response methods at extreme cold temperatures and in ice. It also addresses the environmental impacts and includes a partner from Canada. The results are vital for the off-shore industry and will enhance the business of oil spill response services.

Keywords: oil sensors,smart buoys,gliders,arctic,baltic sea,oil biodegradation,marine biotechnology,biomarkers,in situ burning,dispersants,oil spill response,sneba,on line monitoring
Functions of plasticity in adult-born neurons (FUNCOPLAN)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Neuroscience and Disorders of the Nervous System
Panel description: Nervous system development, homeostasis and ageing, nervous system function and dysfunction, systems neuroscience and modelling, biological basis of cognitive processes and of behaviour, neurological and mental disorders
Countries involved: United Kingdom
Call: ERC Consolidator Grant (ERC-2016-COG, 2016)
Start date: 2017-06-01
End date: 2022-05-31
Duration (months): 60.0
Total project cost (EUR): 2000000.0
EU funding (EUR): 2000000.0
Participants: 1
Project status: SIGNED

The major objective of FUNCOPLAN is to examine groundbreaking questions on the functional role of newly-generated neurons in the adult brain. Using a combination of innovative approaches, our aim is to discover how plasticity in adult-born cells shapes information processing in neuronal circuits. Adult neurogenesis produces new neurons in particular areas of the mammalian brain throughout life. Because they undergo a transient period of heightened plasticity, these freshly-generated cells are believed to bring unique properties to the circuits they join – a continual influx of new, immature cells is believed to provide a level of plasticity not achievable by the mature, resident network alone. But what exactly is the function of the additional plasticity provided by adult-born neurons? How does it influence information processing in neuronal networks? These questions are vital for our fundamental understanding of how the brain works. We will address them by studying a unique population of cells that is continually generated throughout life: dopaminergic neurons in the olfactory bulb. These cells play a key role in the modulation of early sensory responses and are renowned for their plastic capacity. However, the role of this plasticity in shaping sensory processing remains completely unknown. FUNCOPLAN’s first objectives, therefore, are to discover novel experience-dependent plastic changes in the cellular features and sensory response properties of adult-born neurons. We will then go much further than this, however, by integrating our discoveries with state-of-the-art techniques for precisely manipulating activity in these cells in vivo. This wholly innovative approach will allow us to mimic the effects of plasticity in naïve circuits, or cancel the effects of plasticity in experience-altered networks. In this way, we will break new ground, demonstrating a unique contribution of plasticity in adult-born cells to the fundamental function of neuronal circuitry.
Local vs Global Properties of Large Discrete Structures (LocalGlobal)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Consolidator grants
Action type: ERC actions
Panel: Mathematics
Panel description: All areas of mathematics, pure and applied, plus mathematical foundations of computer science, mathematical physics and statistics
Countries involved: Israel
Call: ERC Consolidator Grant (ERC-2019-COG, 2019)
Start date: 2021-03-01
End date: 2026-08-31
Duration (months): 66.0
Total project cost (EUR): 1684375.0
EU funding (EUR): 1684375.0
Participants: 1
Project status: SIGNED

The PI proposes to study a variety of open problems in extremal combinatorics, an area that deals with the asymptotic relations between various parameters of large discrete structures. This area has grown tremendously in the past few decades, in depth and in breadth, and supplied many spectacular results that affected various other areas of mathematics, such as number theory, group theory, probability theory, information theory and theoretical computer science. A common theme in many of the problems the PI will investigate is the relation between local and global properties of various discrete structures. For example, suppose a graph contains few copies of some fixed graph; what can one infer from this simple local restriction about other more global properties of this object? Perhaps surprisingly, many of the outstanding open problems in extremal combinatorics can be cast in this manner. One such problem is the celebrated hypergraph removal lemma. An important goal of this project is to obtain the first primitive recursive bounds for this fundamental problem. Another family of such problems are motivated by questions in theoretical computer science and ask to develop fast algorithms for deciding if a discrete structure satisfies some predetermined property. The PI will develop a unifying theory for such problems using various combinatorial tools introduced in the past few years. Another set of problems ask to establish that hypergraphs excluding certain types of sub-structures, possess surprisingly good Ramsey-type properties. The common thread going through the above problems is Szemeredi's regularity lemma, which is one of the most powerful tools in extremal combinatorics. An important goal of this project is to find new applications of the graph and hypergraph versions this lemma, but more importantly, to develop new efficient variants of the lemma, tailored for specific applications, that would allow us to settle the problems discussed in this proposal.

Keywords: graph theory,hypergraphs,removal lemma,turan problems,regularity lemma,quasi randomness,property testing,ramsey theory,local statistics,np hardness,computability
Self-reconfiguration of a robotic workcell for the recycling of electronic waste (ReconCycle)

Framework: Horizon 2020 — Industrial Leadership
Programme: Information and Communication Technologies
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Italy,Italy,Slovenia
Call: Robotics in Application Areas (H2020-ICT-2019-2, 2019)
Start date: 2020-01-01
End date: 2024-07-31
Duration (months): 55.0
Total project cost (EUR): 3853958.75
EU funding (EUR): 3853958.75
Participants: 6
Project status: SIGNED

Currently industrial robots perform rigidly programmed tasks in highly-constrained settings. Any change in product or process requires costly restructuring of hardware and software. ReconCycle will address these issues by introducing the concept of robotic self-reconfiguration in the largely unconstrained domain of electronic waste recycling, which is still dominated by manual labor. Automation in this sector can benefit from the fact that very large batches of the same device type are to be processed but with some model differences and showing different states of damage. To be able to deal with each of these individual models, the robotic system requires flexible adaptation. Thus, the scientific objective of ReconCycle is to introduce in this sector self-reconfigurable hardware and software based on a reconfigurable robotic cell developed in a previous project. A two-step procedure is foreseen: When changing from one device-type to another, reconfiguration shall be performed in an interactive mode, where the application-engineer will be able to provide input. But, when changing from one device-model to another within a given device-type, the cell shall perform re-configuration on its own through a combination of sensorimotor learning approaches and other AI techniques. This constitutes the main novel scientific contributions of ReconCycle and is aimed at advancing our understanding of robotic perception-action processes in unconstrained industrial settings. We will use highly compliant soft robots and end-effectors, allowing humans to operate together with the machines to complete any missing steps. This reduces automation complexity and brings this project into a feasible regime for up to TRL 6. Electronic waste recycling is an important and strongly growing economic and environmental sector. The industrial objective of ReconCycle is to introduce here a much-increased level of automation resulting in a potentially high long-term impact on industry and society.

Keywords: robot workcell reconfiguration,semantic situation analysis,skill learning,soft robots,recycling,disassembly
Disrupting the Restraint Control Systems (RCS) Market: Personalized Restraint Technology for Boosting Human Safety in Vehicles (SMART-RCS)

Framework: Horizon 2020 — Industrial Leadership
Action type: Innovation actions
Countries involved: Austria,Austria,Hungary,Sweden,France
Call: Fast Track to Innovation (FTI) (H2020-EIC-FTI-2018-2020, 2020)
Start date: 2021-03-01
End date: 2023-02-28
Duration (months): 24.0
Total project cost (EUR): 3422225.0
EU funding (EUR): 2395557.5
Participants: 5
Project status: SIGNED

Worldwide, over 1 million people die each year in road accidents and millions more suffer from injuries. Mandatory Passive Safety Systems (PSS) e.g. in case of a crash, trigger passive safety functions such as airbags and seat belts to reduce the number of fatalities and heavy injuries. However, these PSS follow a ”few-sizes-fit-all” approach (optimized to an “average person” – 175cm, 78kg and male) and thus today, especially for women, children, elderly and people deviating from the average, this leads to significantly higher risks, e.g. any seatbelt-wearing female occupant is 73% more likely to suffer from serious injuries than seatbelt-wearing male occupants (Univ. Virginia). Our project combining R&D and market expertise of 2 industries (airbag and testing systems) and 1 SME partner (computer vision-based software) will disrupt the existing PSS market by introducing a novel highly PERSONALIZED PROTECTION. For the first time, touchless 3D imaging sensors are used to derive precise and real-time information about each occupant - body physique, position and pose, weight and sex - in order to control the PSS mechanisms tailored to each individual occupant. This optimizes the protective function while simultaneously also mitigating the risks of doing unnecessary harm which today also can occur. During this project we will develop our system up to TRL8, standardize & prepare its components for the market needs and implement quality assurance processes required by the automotive industry. Also, a first pilot project with a car manufacturer shall be conducted to allow a short time-to-market across the EU and worldwide on the long run. Our impact targets: saving more than 11.000 lives and preventing over 600.000 injuries between 2025 and 2035. Our innovation strategy: What the system will provide in nowadays cars will also be highly relevant when passengers will be able to move much more freely throughout the interior of a car – in the era of autonomous vehicles.

Keywords: human aware adaptive airbag,personalized vehicle safety