Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
Embodied Motion Intelligence for Cognitive, Autonomous Robots (EMICAB)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive systems, interaction, robotics
Action type: Collaborative project
Countries involved: Germany,Italy,Germany,Denmark
Call:  (FP7-ICT-2009-6, 2009)
Start date: 2011-02-01
End date: 2014-07-31
Duration (months): 42.0
Total project cost (EUR): 2040826.0
EU funding (EUR): 1549973.0
Participants: 4
Project status: CLOSED

The EMICAB consortium takes a holistic approach to the engineering of artificial cognitive systems. Our goal is to integrate smart body mechanics in intelligent planning and control of motor behaviour. To achieve this goal the consortium accounts equally for problems in neuroscience (e.g., multi-sensory integration, internal body models, intelligent action planning) and technology (smart body mechanics, distributed embodied sensors and brain-like controllers). Our approach starts with a strongly sensorised bionic body with redundant whole-body kinematics and then designs the technological infrastructure such that cognitive mechansims emerge from distributed sensorimotor intelligence. The concept is based on neuroscience research on insects whose motor dexterity, adaptiveness and pre-rational abilities in learning and memory rival those of lower mammals: stick insects orchestrate a wide range of dexterous motor behaviours and flies can maintain object locations in short-term memory during navigation tasks, just to mention paradigms that are studied by UNIBI and JGUM. The partners UNICT and SDU will devise bio-inspired models and, in turn, guide ongoing experimental research in order to achieve the overall technological goal: a dexterous hexapod robot that exploits its bodily resources for cognitive functions. Two levels of analysis and modelling will be accounted for: the smart brain that captures various aspects of motion intelligence (motor learning, context-dependent actions, multi-sensory integration) and the smart body equipped with distributed proprioceptors and muscle-like compliance, allowing for novel, highly adaptive, neurobionic control strategies. The EMICAB robot will draw from its complex body features and learn by use of a manipulable internal body model. This will be monitored by an ambitious set of benchmarking scenarios. We expect mutual benefit for applied research on autonomous mobile robots and for basic research in neuroscience.

Keywords: embodiment,multisensory integration,internal representation,body model
Advanced Workflow Preservation Technologies for Enhanced Science (WF4EVER)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Digital libraries and content
Action type: Collaborative project
Countries involved: Spain,United Kingdom,Spain,Poland,United Kingdom,Netherlands
Call:  (FP7-ICT-2009-6, 2009)
Start date: 2010-12-01
End date: 2013-11-30
Duration (months): 36.0
Total project cost (EUR): 3864921.0
EU funding (EUR): 2940000.0
Participants: 7
Project status: CLOSED

Wf4Ever aims at providing the methods and tools required to ensure the long-term preservation of scientific workflows in order to support the scientific discovery process and the development of new scientific assets. Wf4Ever will develop new models, techniques and tools for the preservation of scientific workflows, including the novel definition of a Research Object, which packages workflow descriptions, the provenance of their executions, and links to all the related resources upon which they depend. Such models will also include models for repeatability and reproducibility, and models for workflow abstraction, to facilitate workflow classification and indexing, comparison, and similarity detection between pairs of existing workflows in the library. Wf4Ever will also develop strategies for sharing and reusing workflows or workflow fragments and patterns, including mechanisms for personalised workflow recommendation based on workflow descriptions, users’ collective behaviour, and social information. Finally, Wf4Ever will propose methods and tools to proactively preserve and inspect workflow integrity and authenticity through the evaluation of workflow information quality, based on the provenance of workflows and their research objects and described in new vocabularies for the representation of the provenance of research objects in digital preservation systems. Wf4Ever will develop a software architecture and reference implementation for the preservationof scientific workflows, which will extend one of the most widely deployed scientific workflow sharing infrastructures (myExperiment) with preservation capabilities that consider the complexity of scientific workflows and their related objects. This software system will thus leverage the advances done on workflow lifecycle management, collaboration and sharing support, and integrity and authenticity maintenance. Wf4Ever will be evaluated in two workflow-intensive use cases in the domains of Astronomomy and Genomics.

Keywords: scientific workflows,research objects,preservation
Cultural Heritage Experiences through Socio-personal interactions and Storytelling (CHESS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Digital libraries and content
Action type: Collaborative project
Countries involved: France,Greece,United Kingdom,Germany,France
Call:  (FP7-ICT-2009-6, 2009)
Start date: 2011-02-01
End date: 2014-03-31
Duration (months): 38.0
Total project cost (EUR): 4240041.0
EU funding (EUR): 2859712.0
Participants: 7
Project status: CLOSED

Cultural heritage institutions nowadays face the important challenge of making their collections more engaging to visitors, especially the young ‘digital natives’, while exploiting, in new forms of cultural interactive experiences, the recently developed digital libraries. An approach for cultural heritage institutions (e.g. museums) would be to capitalize on the pervasive use of interactive digital content and systems in order to offer experiences that connect to their visitors’ interests, needs, dreams, familiar faces or places; in other words, to the personal narratives they carry with them and, implicitly or explicitly, build when visiting a cultural site. The principal objective of CHESS is to research, implement and evaluate an innovative conceptual and technological framework that will enable both the experiencing of personalised interactive stories for visitors of cultural sites and their authoring by the cultural content experts. Essentially, CHESS proposes to create narrative-driven cultural “adventures” through hybrid structures, which adapt continuously to their visitors, extend over space and time, and involve multiple users with different interfaces. To achieve this, CHESS will integrate interdisciplinary research in personalization and adaptivity, digital storytelling, interaction methodologies, and narrative-oriented mobile and mixed reality technologies, with a sound theoretical basis in the museological, cognitive, and learning sciences. This tightly integrated framework will be applied and tested in different types of cultural heritage sites; most notably two world-renowned museums, the New Acropolis Museum, and the Cité de l'Espace in France. Access to end-users will be further enhanced through the international User Group, a diverse body of cultural institutions and organisations.

Keywords: cultural heritage,personalization and adaptivity,digital storytelling,mixed reality
A neuro-dynamic framework for cognitive robotics: scene representations, behavioural sequences, and learning. (NEURALDYNAMICS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive systems, interaction, robotics
Action type: Collaborative project
Countries involved: Germany,Sweden,Switzerland,Portugal
Call:  (FP7-ICT-2009-6, 2009)
Start date: 2011-04-01
End date: 2015-03-31
Duration (months): 48.0
Total project cost (EUR): 4005670.0
EU funding (EUR): 3050070.0
Participants: 4
Project status: CLOSED

Endowing robots with cognition is a long-standing and difficult objective. Substantial progress in cognitive science and neuroscience has led to the insight that cognition is tightly linked to the sensory and motor surfaces, and that cognition emerges during development from relatively low-level mechanisms when situated in a structured environment. Building on basic functions such as detection and selection, we will develop a set of elements of cognition and techniques for combining such elements, allowing us to scale towards such cognitive capabilities as scene representation and sequence generation. We will implement and evaluate these elements of cognition in scenarios inspired by the development of cognition in early childhood.

Keywords: scene representations,behavioral sequences,learning.
Driving Excellence in Integrative Cancer Research through Innovative Biomedical Infrastructures (INTEGRATE)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Towards sustainable and personalised healthcare
Action type: Collaborative project
Countries involved: Netherlands,Belgium,Greece,Belgium,Spain,Germany
Call:  (FP7-ICT-2009-6, 2009)
Start date: 2011-02-01
End date: 2014-10-31
Duration (months): 45.0
Total project cost (EUR): 5676545.0
EU funding (EUR): 3974000.0
Participants: 7
Project status: CLOSED

There is a strong need in biomedical research, especially in the case of complex heterogeneous diseases such as cancer, to achieve an all-comprising harmonization of efforts: To integrate the available data and knowledge in comprehensive models supported by interoperable infrastructures and tools, to standardize methodologies, and to achieve wide-scale data sharing and reuse, and multidisciplinary collaboration. INTEGRATE aims to build solutions that support a large and multidisciplinary biomedical community ranging from basic, translational and clinical researchers to the pharmaceutical industry to collaborate, share data and knowledge, and build and share predictive models for response to therapies, with the end goal of improving patient outcome. Moving away from empirical medicine, towards evidence-based personalized care has the potential to both dramatically improve patient outcome and to reduce costs. INTEGRATE will deliver reconfigurable infrastructure components; tools for sharing and collaboration; standards-based data models; and repositories of data, models and knowledge. The INTEGRATE environment will enable: Collection, preservation, management and reuse of data collected within multi-centric clinical trials. These unique comprehensive datasets will be made available through uniform interfaces to support information sharing and collaborative knowledge generation. Multi-disciplinary collaboration, providing an environment and tools that support researchers across domains, institutions and industries to jointly contribute to research objectives, develop common methodologies and complex analyses, and efficiently make use of each other’s expertise and results. Collaborative definition and development of relevant clinical questions and more efficient validation of potential biomarker results and predictive models in clinical trials. Collaborative development, preservation and sharing of multi-scale realistic and validated predictive models of response to novel therapies and anti-cancer drugs. We will propose methodologies for model development, a modelling framework, and predictive multi-scale models in the context of breast cancer. INTEGRATE will also provide standards-based interoperability to existing research and clinical infrastructures to support efficient information reuse and integration.

Keywords: biomedical infrastructures,multi-scale predictive models,semantic interoperability,clinical research
TOpology based Motion SYnthesis for dexterous manipulation (TOMSY)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: Cognitive systems, interaction, robotics
Action type: Collaborative project
Countries involved: Sweden,United Kingdom,United Kingdom,Spain,Germany,Germany
Call:  (FP7-ICT-2009-6, 2009)
Start date: 2011-04-01
End date: 2014-03-31
Duration (months): 36.0
Total project cost (EUR): 3958935.0
EU funding (EUR): 3000000.0
Participants: 6
Project status: CLOSED

The goal of the proposed research is to enable a generational leap in the techniques and scalability of motion synthesis systems. Motion synthesis is a key component of future robotic and cognitive systems to enable their physical interaction with humans and physical manipulation of their environment. Existing motion synthesis algorithms are severely limited in their ability to cope with real-world objects such as flexible objects or objects with many degrees of freedom. The high dimensionality of the state and action space of such objects defies existing methods for perception, control and planning and leads to poor generalisability of solutions in such domains. These limitations are a core obstacle of current robotic research.We propose to solve these problems by learning and exploiting appropriate topological representations and testing them on challenging domains of flexible, multi-object manipulation and close contact robot control and computer animation. Topological representations describe motion in terms of more abstract, more appropriate, and better generalizing features: for instance, an embracing motion can better be described, controlled and planned in coordinates quantifying the `wrappedness' of arms or fingers around the object (as opposed to joint angle coordinates). Such topological representations exist on different levels of abstraction and reduce the dimensionality of the state and action spaces. This proposal investigates existing topological metrics (similar to the mentioned `wrappedness') and uses data driven methods to discover new mappings that capture key invariances. Given topological representations, we will develop methods for sensing, control and planning using on these representations.This proposal, for the first time, aims to achieve this at all the three levels of sensing, representation and action generation -- by developing novel object-action representations for sensing based on manipulation manifolds and refining metamorphic manipulator design in a complete cycle. The methods and hardware developed will be tested on challenging real world robotic manipulation problems ranging from domains with many rigid objects to articulated carton folding or origami and all the way to full body humanoid interactions with flexible objects. The results of this project provide the necessary key technologies for future robots and computer vision systems to enable fluent interaction with their environment -- as well as provide answers to the basic scientific question of the `right' representation in sensorimotor control.

Keywords: robotics,hand/arm design,computer animation,toplogical representation
European Field Operational Test on Safe, Intelligent and Sustainable Road Operation (FOTSIS)

Framework: FP7 — Cooperation
Programme: Information and Communication Technologies
Destination: ICT for mobility, environmental sustainability and energy efficiency
Action type: Collaborative project
Countries involved: Spain,Portugal,Germany,Greece,France,Finland,Austria,Spain,Belgium,Spain,Poland,Germany
Call:  (FP7-ICT-2009-6, 2009)
Start date: 2011-04-01
End date: 2015-03-31
Duration (months): 48.0
Total project cost (EUR): 14137352.0
EU funding (EUR): 8053000.0
Participants: 25
Project status: CLOSED

FOTsis (European Field Operational Test on Safe, Intelligent and Sustainable Road Operation) is a large-scale field testing of the road infrastructure management systems needed for the operation of seven close-to-market cooperative I2V, V2I & I2I technologies (the FOTsis Services), in order to assess in detail both 1) their effectiveness and 2) their potential for a full-scale deployment in European roads. Specifically, FOTsis will test the road infrastructure’s capability to incorporate the new cooperative systems technology and provide the following services in four European Test-Communities (Spain, Portugal, Germany and Greece) regrouping 9 Test-Sites: S1: Emergency Management S2: Safety Incident Management S3: Intelligent Congestion Control S4: Dynamic Route Planning S5: Special Vehicle Tracking S6: Advanced Enforcement S7: Infrastructure Safety Assessment Using an integral and comprehensive approach, FOTsis will therefore review the road infrastructure and communication networks required to secure a proper connectivity from the traffic control centres (and all the information they already have available, enhanced with the V2I data) with the users/vehicles. Relying on the common European and open ITS architecture guideline proposal (supported by the project COMeSafety), able to incorporate available and future ITS services and systems, FOTsis aims to contribute to the safety, mobility and sustainability challenges faced nowadays by the European road transport system. The project represents a major step forward to better connect vehicles, infrastructures and traffic management centres, the main focus being placed on the responsibilities of the road operator.

Keywords: field operational test,infrastructure operation,v2i,i2v,i2i
Multi-Objective Robust Assessment of heLicopter Improvements (MORALI)

Framework: FP7 — Cooperation
Programme: Joint Technology Initiatives (Annex IV-SP1)
Theme: Public-private partnerships
Destination: Clean Sky
Action type: Article 171 of the Treaty
Partnership: CLEAN-SKY (Art-185)
Countries involved: Germany,Bulgaria
Call:  (SP1-JTI-CS-2010-01, 2010)
Start date: 2011-01-01
End date: 2014-12-31
Duration (months): 48.0
Total project cost (EUR): 399840.0
EU funding (EUR): 275880.0
Participants: 2
Project status: CLOSED

The strategic goal of the MORALI project is to improve the rotor design capability, including comprehensive analysis and evaluation skills of different designs, simulation competence at various modelling levels, and automated optimisation support. While helicopter rotor design involves many different disciplines, with often conflicting demands. However, this proposal only addresses the aerodynamic problems, taking other requirements into account by properly defined constraints. Aerodynamics of helicopters is a very demanding undertaking in itself, challenging the underlying modelling as well as high performance computing capabilities. The tool box in this project consists of blade element models at the lower end of the methodology spectrum as well as coupled flow-structure dynamics simulations at the high fidelity side. The blade element model is to be improved by a semi-empirical modelling of dynamic stall, very important for aerodynamic performance, but also for endurance estimations. Furthermore, the wake modelling will be enhanced to represent flow phenomena generated by local wake structures better at this modelling level. CFD can benefit from the introduction of a transition model to take laminar flow at the leading edge into account. Additionally, the trim procedure will be sharpened, taking advantage of automatic trim time decision and convergence acceleration. Both are used to optimise sensibly chosen free parameters in the design process, taking advantage of a comprehensive assessment of the detailed rotor simulation results. This assessment includes acoustic post-processing of the simulations and emulates the qualified analysis of an experienced engineer, in order to attenuate artificial deficiencies in the numerical procedures involved. Finally, the developed tool chain is used for the optimisation of a specific rotor design and the results validated using trusted high-fidelity CFD simulations.

Keywords: helicopter,aerodynamics,coupling,noise,rotor design,optimisation
Energy-efficient piezo-MEMS tunable RF front-end antenna systems for mobile devices (EPAMO)

Framework: FP7 — Cooperation
Programme: Joint Technology Initiatives (Annex IV-SP1)
Theme: Public-private partnerships
Destination: Electronic Numerical Integrator and Computer
Action type: Collaborative project
Partnership: ENIAC (Art-185)
Countries involved: Netherlands,Germany,Germany,Finland,Sweden,Netherlands,Netherlands,Germany,Germany,Germany
Call:  (ENIAC-2010-1, 2010)
Start date: 2011-04-01
End date: 2014-03-01
Duration (months): 35.0
Total project cost (EUR): 13320503.0
EU funding (EUR): 2224523.0
Participants: 16
Project status: CLOSED

Future wireless communication systems need to cope with the increased number of frequency bands and advanced mobile phone standards supporting high data rates. At the same time mobile phone systems have to become more energy-efficient in order to contribute to the Grand Challenge “CO2-reduction”. The EPAMO project will address both aspects by exploring and implementing multiple innovative process and testing technologies to realise an adaptive antenna front-end system for 4G mobile phones. Due to closed-loop antenna tuning the radio power levels can be reduced in the mobile phone by more than 50%, in the base stations by at least 10%. It is estimated that the implementation of this technology has a global energy-saving potential of more than 10.000 GWh per year. EPAMO has the objective to explore the potential of unprecedented ultra-high density RF-MEMS switch arrays to be integrated in an energy-efficient agile RF transceiver with reconfigurable antenna. Key cross-cutting More-than-Moore and heterogeneous integration technologies are high-force piezoelectric MEMS actuators based on Lead Zirconate Titanate (PZT) thin films, high reliability metallic contact switches, and low-loss silicon and composite glass-silicon 8” wafer substrates. Fine pitch through-wafer vias will allow a high-density 3D system integration in ultra-small RF module substrates with integrated components.

Keywords: wireless communication,energy efficiency,green wireless,rf mems,mems switch,piezoelectric actuator,adaptive antenna,tunable antenna,mobile phone,rf frontend,microsystem technologies