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37 Projects, page 1 of 8
Open Access Mandate for Publications assignment_turned_in Project2018 - 2021Partners:UNIMORE, EPOS EMBEDDED CORE & POWER SYSTEMS GMBH & CO. KG, CSIC, ANYWI, Scania (Sweden) +57 partnersUNIMORE,EPOS EMBEDDED CORE & POWER SYSTEMS GMBH & CO. KG,CSIC,ANYWI,Scania (Sweden),Infineon Technologies (Austria),TAMPERE UNIVERSITY OF TECHNOLOGY,Innoluce,FAU,MASERATI SPA,ROVIMATICA,AUTOCAR MEDIA GROUP LTD,University of Bucharest,Offenburg University of Applied Sciences,NSNFINLAND,Graz University of Technology,IDEAS & MOTION SRL,UAB,TENNECO AUTOMOTIVE EUROPE BVBA,TECNALIA,CISC Semiconductor (Austria),BMW (Germany),Latvian Academy of Sciences,IRIZAR,NOORD-BRABANT,Okmetic,VIF,TEKNOLOGIAN TUTKIMUSKESKUS VTT OY,Murata (Finland),VIDEANTIS GMBH,IDIADA,G.N.T. INFORMATION SYSTEMS S.A.,TNO,AVL TURKIYE,IMEC,POLITO,FICOSA ADAS, S.L.,CRF,IECS,TU/e,TU Delft,TTTech Computertechnik (Austria),HABITUS RESEARCH,ITI,STARHOME,NXP (Netherlands),TTS KEHITYS OY,DAT.Mobility,RELAB,AITEK SPA,TTTECH AUTO AG,Robert Bosch (Germany),KTH,University of Turku,INFINEON TECHNOLOGIES LINZ GMBH & CO KG,FORD OTOMOTIV SANAYI ANONIM SIRKETI,TTTech Germany GmbH,UAM,TAMPERE UNIVERSITY,Infineon Technologies (Germany),AVL,MATTERSOFTFunder: European Commission Project Code: 783190Overall Budget: 50,293,700 EURFunder Contribution: 14,368,400 EURThe ambition of PRYSTINE is to strengthen and to extend traditional core competencies of the European industry, research and universities in smart mobility and in particular the electronic component and systems and cyber-physical systems domains. PRYSTINE's target is to realize Fail-operational Urban Surround perceptION (FUSION) which is based on robust Radar and LiDAR sensor fusion and control functions in order to enable safe automated driving in urban and rural environments. Therefore, PRYSTINE's high-level goals are: 1. Enhanced reliability and performance, reduced cost and power of FUSION components 2. Dependable embedded control by co-integration of signal processing and AI approaches for FUSION 3. Optimized E/E architecture enabling FUSION-based automated vehicles 4. Fail-operational systems for urban and rural environments based on FUSION PRYSTINE will deliver (a) fail-operational sensor-fusion framework on component level, (b) dependable embedded E/E architectures, and (c) safety compliant integration of Artificial Intelligence (AI) approaches for object recognition, scene understanding, and decision making within automotive applications. The resulting reference FUSION hardware/software architectures and reliable components for autonomous systems will be validated in in 22 industrial demonstrators, such as: 1. Fail-operational autonomous driving platform 2. An electrical and highly automated commercial truck equipped with new FUSION components (such as LiDAR, Radar, camera systems, safety controllers) for advanced perception 3. Highly connected passenger car anticipating traffic situations 4. Sensor fusion in human-machine interfaces for fail-operational control transition in highly automated vehicles PRYSTINE’s well-balanced, value chain oriented consortium, is composed of 60 project partners from 14 different European and non-European countries, including leading automotive OEMs, semiconductor companies, technology partners, and research institutes.
more_vert Open Access Mandate for Publications assignment_turned_in Project2019 - 2022Partners:Carlos III University of Madrid, TUD, AVCR, VTC, DOTGIS +81 partnersCarlos III University of Madrid,TUD,AVCR,VTC,DOTGIS,University of Lübeck,BEIA,DAC.DIGITAL JOINT-STOCK COMPANY,BOSCH SOFTWARE INNOVATIONS GMBH,UMT,TECHNEXT,KAI,IUNET,ABB OY,BUT,BUTE,SAP NORWAY AS,EXPLEO GERMANY GMBH,CISC Semiconductor (Austria),RHEINLAND-PFALZISCHE TECHNISCHE UNIVERSITAT,Latvian Academy of Sciences,ACCIONA CONSTRUCCION SA,ROPARDO,FAGOR AUTO,UTIA,THE REUSE COMPANY,VIF,STGNB 2 SAS,MGEP,TECHNOLUTION BV,ARCELIK,Infineon Technologies (Austria),WAPICE LTD WAPICE AB,EQUA Simulation (Sweden),ASTUCE,ULMA Embedded Solutions,NTNU,Luleå University of Technology,STMicroelectronics (Switzerland),Gdańsk University of Technology,HiØ,NOVA,CEA,3E,TEKNOLOGIAN TUTKIMUSKESKUS VTT OY,IECS,FORSCHUNG BURGENLAND GMBH,TU/e,EQUA SOLUTIONS AG,CTU,INQUERY LABS CLOSED COMPANY LIMITEDBY SHARES,SYSTEMA,Jotne,FAGOR ARRASATE S COOP,TELLU AS,AITIA International Zrt.,Dresden University of Applied Sciences,ICT,CAMEA,POLITO,AIT,MONDRAGON CORPORACION COOPERATIVA SCOOP,PHILIPS MEDICAL SYSTEMS NEDERLAND,MSI,Ikerlan,ECL,SIRRIS,Magillem Design Services,Eurotech (Italy),INCQUERY LABS RESEARCH AND DEVELOPMENT LTD,PODCOMP,EDMS,Robert Bosch (Germany),ifak e. V. Magdeburg,LUNDQVIST TRAVARU AB,SEMANTIS INFORMATION BUILDERS GMBH,BOLIDEN MINERAL AB,LIND,ASML (Netherlands),CSC,SANTER REPLY,AEE INTEC,IFD,BnearIT (Sweden),Infineon Technologies (Germany),EVOPRO INNOVATION KFTFunder: European Commission Project Code: 826452Overall Budget: 83,757,200 EURFunder Contribution: 21,155,000 EURFor the purpose of creating digitalisation and automation solutions Arrowhead Tools adresses engineering methodologies and suitable integrated tool chains. With the global aim of substantial reduction of the engineering costs for digitalisation/automation solutions. Thus the Arrowhead Tools vision is: - Engineering processes and tool chains for cost efficient developments of digitalization, connectivity and automation systems solutions in various fields of application For the further and wider commercialisation of automation and digitalisation services and products based on SOA, Arrowhead Framework and similar technologies there is a clear need for engineerings tools that integrates existing automation and digitalisation engineering procedures and tool with SOA based automation/digitalisation technology. For this purpose the Arrowhead Tool’s grand challenges are defined as: - Engineering costs reduction by 40-60% for a wide range of automation/digitalisation solutions. - Tools chains for digitalisation and automation engineering and management, adapted to: 1. existing automation and digitalisation engineering methodologies and tools 2. new IoT and SoS automation and digitalisation engineering and management tools 3. security management tools - Training material and kits for professional engineers The results will create impact on: - Automation and digitalisation solution market - Automation and engineering efficiency and the SSBS market - Automation and digitalisation security - Competence development on engineering of automation and digitalisation solution
more_vert Open Access Mandate for Publications assignment_turned_in Project2017 - 2020Partners:UNIMORE, GEFRAN SPA, JJVCI, GEFRAN DRIVES AND MOTION SRL, ROVIMATICA +29 partnersUNIMORE,GEFRAN SPA,JJVCI,GEFRAN DRIVES AND MOTION SRL,ROVIMATICA,TECO A.S.,OPEN ENGINEERING SA,BUT,Latvian Academy of Sciences,INL,TECHNOLUTION BV,EMCMCC,IECS,TU/e,IMA,Evidence (Italy),SIEMENS PLM,TNO,GMV,Sioux Technologies b.v.,PHILIPS MEDICAL SYSTEMS NEDERLAND,Ikerlan,NEXPERIA BV,University of Brescia,IK4-TEKNIKER,UCC,REDEN,FAGOR,ITML,ZČU,INGENIA MOTION CONTROL,CORREA,CCM,EDILASIOFunder: European Commission Project Code: 737453Overall Budget: 17,027,700 EURFunder Contribution: 5,018,270 EURThe I-MECH target is to provide augmented intelligence for wide range of cyber-physical systems having actively controlled moving elements, hence support development of smarter mechatronic systems. They face increasing demands on size, motion speed, precision, adaptability, self-diagnostic, connectivity, new cognitive features, etc. Fulfillment of these requirements is essential for building smart, safe and reliable production complexes. This implies completely new demands also on bottom layers of employed motion control system which cannot be routinely handled by available commercial products. On the ground of this, the main mission of this project is to bring novel intelligence into Instrumentation and Control Layers mainly by bridging the gap between latest research results and industrial practice in related model based engineering fields. Next, I-MECH will deliver new interfaces and diagnostic data quality for System Behavior Layer. It strives to provide a cutting edge reference motion control platform for non-standard applications where the control speed, precision, optimal performance, easy reconfigurability and traceability are crucial. The high added value of I-MECH reference platform will be directly verified in high-speed/big CNC machining, additive manufacturing, semicon, high-speed packaging and healthcare robotics. In these sectors, the main project pilots will be validated. However, the platform will be applicable in many other generic motion control fields. The project outputs will impact on the entire value chain of the production automation market and, through envisioned I-MECH center, create sustainable proposition for future smart industry.
more_vert assignment_turned_in Project2010 - 2012Partners:AP2K, INNOSPEXION APS, Latvian Academy of Sciences, Semicon, IECS +4 partnersAP2K,INNOSPEXION APS,Latvian Academy of Sciences,Semicon,IECS,TWI LIMITED,CERTH,CIT,SMART GroupFunder: European Commission Project Code: 262212more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2019 - 2023Partners:TAMPERE UNIVERSITY OF TECHNOLOGY, TOPPINDUSTRISENTERET AS, F6S NETWORK LIMITED, CECIMO, LSEC +13 partnersTAMPERE UNIVERSITY OF TECHNOLOGY,TOPPINDUSTRISENTERET AS,F6S NETWORK LIMITED,CECIMO,LSEC,Flanders Make (Belgium),BUTE,JSI,Latvian Academy of Sciences,Fastems Oy Ab,UAB CIVITTA,UiT,IECS,University of Patras,Centria University of Applied Sciences,FHG,LP-MONTAGETECHNIK GMBH,TAMPERE UNIVERSITYFunder: European Commission Project Code: 825196Overall Budget: 16,335,900 EURFunder Contribution: 15,997,300 EURThe main objective of TRINITY is to create a network of multidisciplinary and synergistic local digital innovation hubs (DIHs) composed of research centers, companies, and university groups that cover a wide range of topics that can contribute to agile production: advanced robotics as the driving force and digital tools, data privacy and cyber security technologies to support the introduction of advanced robotic systems in the production processes. The result will be a one-stop shop for methods and tools to achieve highly intelligent, agile and reconfigurable production, which will ensure Europe’s welfare in the future. The network will start its operation by developing demonstrators in the areas of robotics we identified as the most promising to advance agile production, e.g. collaborative robotics including sensory systems to ensure safety, effective user interfaces based on augmented reality and speech, reconfigurable robot workcells and peripheral equipment (fixtures, jigs, grippers, …), programming by demonstration, IoT, secure wireless networks, etc. These demonstrators will serve as reference implementation for two rounds of open calls for application experiments, where companies with agile production needs and sound business plans will be supported by TRINITY DIHs to advance their manufacturing processes. Besides technology-centered services, primarily laboratories with advanced robot technologies and know-how to develop innovative application experiments, TRINITY network of DIHS will also offer training and consulting services, including support for business planning and access to financing. Services of participating DIHs and dissemination of information to wider public will be provided through a digital access point that will be developed in the project. Another important activity of the project will be the preparation of a business plan to sustain the network after the end of the project funding.
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1 Organizations, page 1 of 1
corporate_fare Organization LatviaWebsite URL: http://www.lza.lv/more_vert