Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Morphing Computerized mats with Embodied Sensing and Artificial Intelligence (MOZART)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Digital
Destination: Digital & Emerging Technologies for Competitiveness and Fit for the Green Deal
Action type: Research and Innovation actions
Partnership: AI-DATA-ROBOTICS (co-programmed)
Countries involved: Denmark,Italy,Ireland,Belgium,Switzerland,Czechia
Call: Pushing the limit of robotics cognition (AI, Data and Robotics Partnership) (RIA) (HORIZON-CL4-2021-DIGITAL-EMERGING-01, 2021)
Start date: 2022-10-01
End date: 2026-09-30
Duration (months): 48.0
Total project cost (EUR): 4819597.75
EU funding (EUR): 4819597.75
Participants: 10
Project status: SIGNED

The MOZART project aims to advance the state-of-the art in robotic handling and manipulation of soft and heterogenous objects. The approach we take is a radical departure from existing manipulator approaches as we will develop a new concept for manipulation through the use of deformable manipulation surfaces supported by AI-powered control and learning tools. The manipulation surface is able to change its curvature locally and through this manipulates objects on the surface. The manipulation surface has three constituent elements. A conventional modular electronics layer responsible for communication, power, and computation, an actuation layer based on origami mechanisms, and finally, a soft poro-elastic sensing skin. The hardware development is complemented by a distributed control application programming interface which is built on cellular automata and deep learning. The framework includes basic and coordination primitives that allow for manipulation of individual objects and groups of objects, respectively. For demonstration we have chosen three target demonstrators in the food handling industry which are descaling fish, sorting of chicken and presentation of chicken. The final pillar of the project is an integrative-interdisciplinary social sciences and humanities approach that tackles the transition of the role of the operators today to more high-skilled jobs in the future. It also addresses the general ethical challenges surrounding food production to ensure sustainable technology development in terms of social and ethical as well as ecological consequences. The core research is complemented by a comprehensive dissemination and communication package that targets all relevant stakeholders. Finally, a clear exploitation plan including standardisation is described which will transition the AUTOMATs from TRL 5 at the end of the project to a product ready to impact the food packing industry four year after the end of the project.

Keywords: origami robotics
Safety systems and human-machine interfaces oriented to diverse population towards future scenarios with increasing share of highly automated vehicles (AWARE2ALL)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Mobility
Destination: Safe, Resilient Transport and Smart Mobility services for passengers and goods
Action type: Research and Innovation actions
Partnership: CCAM (co-programmed)
Countries involved: Spain,Germany,Greece,Netherlands,France,Türkiye,Serbia
Call: Reliable occupant protection technologies and HMI solutions to ensure the safety of highly automated vehicles (CCAM Partnership) (HORIZON-CL5-2022-D6-01, 2022)
Start date: 2022-11-01
End date: 2025-10-31
Duration (months): 36.0
Total project cost (EUR): 7999817.51
EU funding (EUR): 7999817.5
Participants: 21
Project status: SIGNED

Facing to the challenge of future highly automated vehicles, where occupants can freely orient themselves to engage in non-driving activities. This new environment prompts questions about how car occupants will actually sit, what activities they will engage in, and how they will informed through the HMI to keep them in the loop if necessary. AWARE2ALL aims to pave the way towards Highly Automated Vehicles (HAVs) deployment in traffic, by effectively addressing the changes in road safety and changes in the interaction of different road users caused by the emergence of HAV through the development of innovative technologies along with the corresponding assessment tools and methodologies. AWARE2ALL will develop safety and HMI systems that will be interrelated through achieving a holistic understanding of the scene to ensure safe operation of the HAV. AWARE2ALL proposes a common conceptual universal safety framework for considering Human Machine Interaction (HMI). The project will be built on the results of projects funded under H2020 and other R&D programmes addressing the identification of new safety-critical situations and the most likely positions and postures considering the expected HAV applications. The main objective of AWARE2ALL is to address the new safety challenges posed by the introduction of HAVs in mixed road traffic, through the development of inclusive and innovative safety (passive and active) and HMI (interior and exterior) systems that will consider the variety of population and will objectively demonstrate relevant improvements in mixed traffic safety.

Keywords: protection systems,seating positions and body postures,user centric hmi,odd,occupant state monitoring,situation awareness,intelligent protection approaches,control transition strategies
From speech and print to meaning: an integrated account of word recognition in young and older adults. (VIAWORD)

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: Social Sciences and Humanities
Countries involved: Spain
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2016-06-01
End date: 2018-09-20
Duration (months): 24.0
Total project cost (EUR): 170121.6
EU funding (EUR): 170121.6
Participants: 1
Project status: CLOSED

Language is a uniquely human and complex cognitive process that is vital for our successful everyday interactions in the world. I propose to investigate neurophysiological mechanisms associated with orthographic, phonological and semantic processes of word recognition and how they are modulated by print (visual) and spoken (auditory) inputs (phase 1), and by healthy aging (phase 2). In phase 3, I will develop a biologically-plausible computational model of word recognition that will incorporate findings from phases 1 and 2. To achieve this, I will use an original multidisciplinary and interdisciplinary approach combining: psycholinguistics, cognitive neuroscience, cognitive psychology of aging, and computational modelling. My main predictions include that: (1) differences in neurocognitive mechanisms associated with orthography, phonology and semantics arise due to the temporally-extended (auditory) vs. all at once (visual) presentation of word; (2) decline in sensory acuity during aging affect subsequent neurocognitive mechanisms of word recognition causing greater reliance on later semantic processes than on earlier orthographic and phonological processes. Ultimately, my project can provide us with a much needed integrated account of normal neurocognitive processes during word recognition and can help us understand what declines and what is preserved in healthy aging. In turn, such understanding can help future research delineate bio-markers of early language deterioration and simulate remedial treatments.

Keywords: word recognition,cognitive neuroscience,event related potentials
PLUG-N-play passive and active multi-modal energy HARVESTing systems, circular economy by design, with high replicability for Self-sufficient Districts Near-Zero Buildings (PLUG-N-HARVEST)

Framework: Horizon 2020 — Industrial Leadership
Programme: Nanotechnologies, Advanced Materials, Advanced Manufacturing and Processing, and Biotechnology
Theme: Technologies enabling energy-efficient systems and energy-efficient buildings with a low environmental impact
Action type: Innovation actions
Countries involved: Germany,Spain,Spain,Spain,Greece,Romania,Greece,Greece,United Kingdom,United Kingdom
Call: Integration of energy harvesting at building and district level (H2020-EEB-2017, 2017)
Start date: 2017-09-01
End date: 2022-11-30
Duration (months): 63.0
Total project cost (EUR): 6860025.86
EU funding (EUR): 5993466.25
Participants: 14
Project status: CLOSED

Conventional Retrofitting (CR) can result in high energy use reductions at the expense of high installation costs and, usually, without being able to directly perform harvesting from Renewable Energy Sources (RES). Building Automation (BA) systems, as compared to CR, can result in medium energy use reductions and in low or medium harvesting from RES at the expense of medium installation costs and medium operational costs. Recently, the concept of Adaptable/Dynamic Building Envelopes (ADBE) - such as Multifunctional Façade Modules - has been proposed towards overcoming many of the shortcomings of CR and BA. ADBE systems can result in high energy use reductions and high harvesting from RES at the expense of medium-to-high installation costs and medium operational costs. The main strategic goal of the PLUG-N-HARVEST proposal is to design, develop, demonstrate and exploit a new modular, plug-n-play concept/product for ADBE - deployable to both residential and non-residential buildings - which is able to provide high (maximum possible) energy use reductions and high (maximum possible) energy harvesting from RES both at the single-building and the district scale while requiring medium-to-low installation costs and almost-zero operational costs. Moreover, by appropriately exploiting its attributes, the PLUG-N-HARVEST system will be designed and implemented considering circular economy principles, which will allow implementing new business models based on leasing and renting modes and, by this, leaving the door open to massive implementations. Four different multi-building Pilots – in Germany, Spain, Greece and the U.K. - will be used for demonstrating the use of the integrated PLUG-N-HARVEST system in full-scale, on a 24/7 basis and for a long period. The Pilots involve buildings with all different kinds of energetic, thermal and occupants' interactions, home occupants of highly diverse behaviour and background and include both residential and non-residential buildings.

Keywords: adaptive dynamic building envelops,building control,energy management,harvesting in building and district level
Increasing the fitness of tumor-infiltrating T cells for cellular immunotherapy (TIL-FIT)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Starting grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Switzerland
Call: ERC Starting Grant (ERC-2018-STG, 2018)
Start date: 2019-01-01
End date: 2023-12-31
Duration (months): 60.0
Total project cost (EUR): 1406250.0
EU funding (EUR): 1406250.0
Participants: 1
Project status: SIGNED

Adoptive T cell therapies (ACTs) are emerging as a promising strategy to treat cancer. Tumor-infiltrating lymphocytes (TILs) are expanded ex vivo, selected for recognition of neoantigens, further expanded and then infused back into patients. This procedure requires extensive culturing and expansion of TILs during which many T cell clonotypes are lost. As tumor-reactive TILs are often exhausted and tend to be overgrown by functional, non-specific T cells in culture, the chance to identify potent tumor-reactive T cells dramatically decreases. Moreover, extensive expansion of T cells diminishes their anti-tumor activity and persistence in the body after adoptive transfers. Thus, improving the fitness of T cells is crucial to increase the success rate of ACTs and make this therapy accessible to a broad spectrum of cancer patients. Our first aim is to increase the fitness of T cells by designing metabolic and pharmacological interventions based on proteomic profiles of TILs from patients with liver cancer. Second, we will use machine-learning algorithms for the extraction of signatures to predict whether TILs grow well in culture, require and respond to metabolic interventions, or cannot be revitalized and do not grow at all. To deal with non-growing T cells, we aim at establishing a microfluidics-based workflow to graft the entire T cell receptor (TCR) repertoire from thousands of non-growing TILs onto fast growing Jurkat cells. After selecting Jurkat cells that recognize neoantigens, their TCRs will be expressed on naïve T cells obtained from the patient’s blood that are fit and suitable for ACT. This project will contribute to a better understanding of the T cell response to liver cancer and help increasing the success of personalized ACTs for solid tumors.
Advanced Simulation Solutions Applied to Quality Control of Laser Deposited Metals (ASSALA)

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: Spain,France
Call: Probabilistic simulation of defect probability in LWD – Wire fusion processes (H2020-CS2-CFP08-2018-01, 2018)
Start date: 2019-04-01
End date: 2021-10-31
Duration (months): 31.0
Total project cost (EUR): 599931.25
EU funding (EUR): 599931.25
Participants: 3
Project status: CLOSED

The main objective of the ASSALA project is to develop a methodology to predict defect generation likelihood induced by the interaction of robot inaccuracies and thermal effects during the Laser Wire Deposition (LWD) process of Titanium integrating deterministic and advanced statistical models applied on the manufacturing of new generation aero engine structures. The novel activities to carry out during the project will be based on: - The development of a tool focused on the automatic path generation applied on to robotic LWD based on 5 degree of freedom deposition. - A dynamic robot model to compensate and estimate through Monte Carlo simulation the temporal positioning accuracy. - A fast and precise computation algorithm that will allow to solve the time consuming dynamic thermo-mechanical phenomena of the solidification process based on Finite Element Modelling through model order reduction strategies. - Implementation of process monitoring (thermal and visible) and control tools (CAM correction) for the implementation of adaptive control strategies which will correct the component distortion. - Integration of the developed algorithms in a methodology to predict the failure probability based on Monte Carlo statistical tools. - Testing and validation of the developed simulation tools and implemented adaptive control strategies. ASSALA aims at contributing to achieve more efficient and robust LWD processes provided that the end effector-to-component relative distance plays a major role in the stability of the process and in the generation of defects such as cracks or flaws that can induce the rejection of the deposits due to the critical structural nature of the aero engine components.

Keywords: laser wire deposition,robot,fem simulation,model order reduction,adaptive control,path generation
Welding of E-Textiles for Interactive Clothing (ETexWeld)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Information Science and Engineering
Countries involved: Taiwan, Province of China,Greece,China,Türkiye,Slovenia,France,France,United Kingdom,United Kingdom
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2014, 2014)
Start date: 2015-01-01
End date: 2019-06-30
Duration (months): 54.0
Total project cost (EUR): 918000.0
EU funding (EUR): 913500.0
Participants: 13
Project status: CLOSED

The new field of science dealing with implementation of electronics to textiles in combination with informatics is known as e-textiles. This project proposal leads to knowledge transfer among partners in order to develop innovative e-textile products for interactive protective clothing and footwear using welding technologies by bringing experts from different countries, sectors and disciplines together to focus their effort in innovative e-textile product designs. Within this context, the project aims to develop novel e-textile structures including transmission lines, sensors, actuators, microprocessors, personalized algorithms, on-body computing and user feedbacks in order to make a breakthrough towards development of interactive protective clothing and footwear that able to monitor health, activity, position of the user in the environmental risky situations, the welding technologies will be mainly used in three concepts: I. Designing of transmission lines of e-textile structures; II. Integration of electronic elements (different sensors, actuators, microprocessors, data transmission and power supply systems) to textile structures; III. Design and development of whole e-textile system for protective clothing applications including interactive protective garments and shoes. Thus, project draws on strong transitions of textiles, electronics and informatics researches and is internationally acknowledged for its pioneering contributions to e-textile researches through the industry-academia cooperation. This will not only help to develop future generations of entrepreneurial researchers more capable of contributing effectively to the knowledge-based e-textile research area, within and between public and private sectors, but also add to the intersectorial and trans-national employability of these researchers as well as to the attraction of young people to a research career on textile/electronics areas.

Keywords: e textiles,welding technologies,interactive protective clothing and footwear
Passenger-centric Big Data Sources for Socio-economic and Behavioural Research in ATM (BigData4ATM)

Framework: Horizon 2020 — Societal Challenges
Programme: Smart, green and integrated transport
Theme: Public-private partnerships
Destination: Single European Sky Air Traffic Management Research
Action type: Research and Innovation actions
Partnership: SESAR (Art-187)
Countries involved: Spain,Israel,Spain,Germany
Call: Data Science in ATM (H2020-SESAR-2015-1, 2015)
Start date: 2016-05-09
End date: 2018-05-08
Duration (months): 24.0
Total project cost (EUR): 599732.5
EU funding (EUR): 599732.5
Participants: 6
Project status: CLOSED

The Flightpath 2050 report envisages a passenger-centric air transport system thoroughly integrated with other transport modes, with the goal of taking travellers from door to door predictably and efficiently. However, ATM operations have so far lacked a passenger-oriented perspective, with performance objectives not necessarily taking into account the ultimate consequences for the passenger. There is a lack of understanding of the impact of passengers’ behaviour on ATM and vice versa. Research in this area has so far been constrained by the limited availability of behavioural data. The pervasive penetration of smart devices in our daily lives and the emergence of big data analytics open new opportunities to overcome this situation: for the first time, we have large-scale dynamic data allowing us to test hypotheses about travellers’ behaviour. The goal of BigData4ATM is to investigate how these data can be analysed and combined with more traditional demographic, economic and air transport databases to extract relevant information about passengers’ behaviour and use this information to inform ATM decision making processes. The specific objectives of the project are: 1. to integrate and analyse multiple sources of passenger-centric spatio-temporal data (mobile phone records, data from geolocation apps, credit card records, etc.) with the aim of eliciting passengers’ behavioural patterns; 2. to develop new theoretical models translating these behavioural patterns into relevant and actionable indicators for the planning and management of the ATM system; 3. to evaluate the potential applications of the new data sources, data analytics techniques and theoretical models through a number of case studies, including the development of passenger-centric door-to-door delay metrics, the improvement of air traffic forecasting models, the analysis of intra-airport passenger behaviour and its impact on ATM, and the assessment of the socio-economic impact of ATM disruptions.

Keywords: big data,socioeconomic research,behavioural research,passenger centric indicators,door to door delay,traffic forecasts,disruption management
Plasticity of dendritic computations during active network states (3DPLASTICITY)

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: United Kingdom
Call: Marie Skłodowska-Curie Individual Fellowships (IF-EF) (H2020-MSCA-IF-2015, 2015)
Start date: 2017-02-01
End date: 2019-01-31
Duration (months): 24.0
Total project cost (EUR): 183454.8
EU funding (EUR): 183454.8
Participants: 1
Project status: CLOSED

Neurons in the cortex generate sensory perceptions by extracting certain features from the environment and combining them with internally generated information. A better understanding of how neurons perform these computations will deepen our understanding of normal brain function and potentially identify novel therapies for mental conditions that perturb sensory perception such as autism, schizophrenia, and epilepsy. Neuronal computations occur at thousands of synapses across three dimensionally complex dendritic trees. In the cortex, dendritic integration takes place in the context of ongoing network activity, and recent work indicates that network activity profoundly alters how neurons compute sensory information. Yet, most of our current knowledge of how dendrites process synaptic inputs has been derived under non-physiological conditions, resulting in a poor understanding of network behavior in the living brain. An equally important property of cortical microcircuits is that they are endowed with a plethora of plasticity mechanisms that enable flexible adaptions to the environment. The role of synaptic plasticity at excitatory synapses is established for such adaptations. How inhibitory plasticity shapes dendritic integration and sensory processing remains largely unexplored. The purpose of my Marie Skłodowska-Curie Individual Fellowship is to elucidate how synaptic plasticity operates within active neuronal networks and how plasticity influences cortical computations within morphologically complex dendritic trees. To address these knowledge gaps, I will combine my expertise in synaptic plasticity, electrophysiology, and pharmacology with cutting-edge techniques I will learn under the mentorship of Professor Angus Silver including 3D imaging, optogenetic applications, and biologically detailed computer modelling. This cutting-edge training-through-research program is expected to transform our understanding of how single neurons compute sensory information.

Keywords: plasticity,dendritic integration,network activity,microcircuits,visual cortex,3d imaging