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Olen nõus
"Muu" projekt ETAG17107
ETAG17107 "RoboCom++ tuleviku robotkaaslased (1.03.2017−29.02.2020)", Maarja Kruusmaa, Tallinna Tehnikaülikool, Infotehnoloogia teaduskond, Arvutisüsteemide instituut.
RoboCom++ tuleviku robotkaaslased
RoboCom++: Rethinking robotics for the robot companion of the future
Teadus- ja arendusprojekt
ValdkondAlamvaldkondCERCS erialaFrascati Manual’i erialaProtsent
4. Loodusteadused ja tehnika4.13. Mehhanotehnika, automaatika, tööstustehnoloogiaT125 Automatiseerimine, robootika, control engineering 2.3 Mehaanika / masinaehitus50,0
4. Loodusteadused ja tehnika4.6. ArvutiteadusedT120 Süsteemitehnoloogia, arvutitehnoloogia1.2 Arvutiteadus ja informaatika50,0
01.03.2017−29.02.202050 000,00 EUR
50 000,00 EUR

Robocom++ peamine eesmärk on uute teadusparadigmade uurimine ja arendamine. Robocom ++ raames valmistatakse ette uus FET Flagship project uut tüüpi robotite teaduspõhiseks arendamiseks. Üheks eesmärgiks on leida alternative preagustelt mehantroonika paradigmadele, mis võivad robotite arengut tulevikus pidurdada, arvestades, et keerulisemad süsteemid viivad halvema juhitavuse, skaleeritvuse ning energiatarbeni. Selleks töötatakse alternatiivse pehmete robotite ning nn kehalise intelligentsuse paradigmadega, mis ideaalise annavad suhtelises lihtsuse juures väikese energiakulu ning suure töökindluse ning kohanemisvõime. Selle lähenemise filosoofilisteks alusteks on simpleksuse, morfoloogiliste arvutuste, evolutsiooniliste arvutuste ning arengurobootika mõisted.
The main objective of the RoboCom++ proposal is to lay the foundation for a future global interdisciplinary research programme (e.g., a FET-Flagship project) on a new science-based transformative Robotics, to be launched by the end of the H2020 Programme. RoboCom++ will gather the community and organise the knowledge necessary to rethink the design principles and fabrication technologies of future robots. RoboCom++ will aim at developing the cooperative robots (or Companion Robots) of the year 2030, by fostering a deeply multidisciplinary, transnational and federated effort. The mechatronic paradigm adopted today, although successful, may prevent a wider use of robotic systems. For example, system complexity increases with functions, leading to more than linearly increasing costs and power usage and decreasing robustness. RoboCom++ will pursue a radically new design paradigm, grounded in the scientific studies of intelligence in nature. This approach will allow achieving complex functionalities in a new bodyware with limited use of computing resources, mass and energy, with the aim of exploiting compliance instead of fighting it. Simplification mechanisms will be based on the concepts of embodied intelligence, morphological computation, simplexity, and evolutionary and developmental approaches. Exploring these concepts in order to develop new scientific knowledge and new robots that can effectively negotiate natural environments, better interact with human beings, and provide services and support in a variety of real-world, real-life activities, requires a coordinated and federated initiative. Ultimately, the Companion Robots conceived in RoboCom++ may foster a new wave of economic growth in Europe by boosting the deployment of ubiquitous robots and web-based robotic services. The RoboCom++ community will pursue these ambitious objectives by cooperating along three main lines of action: 1) building the community and the tools for research reproducibility (benchmarks, metrics, data sharing protocols, test platforms, standards); 2) proof-of-concept research pilots; and 3) defining the long-term S&T roadmap, competitiveness strategy, governing and financing structure, and the ethical, legal, economic and social framework of a future FET Flagship –like initiative on Robotics . RoboCom++ will actively pursue collaboration with industry, along with dissemination, community outreach and participation of EU citizens and stakeholders, with particular attention to the issue of robots and jobs, and to the analysis and proposition of viable policy options.
Bilkent University/Department of Chemistry and National Nanotechnology Research Center (BU-CHEM), Turkey
Centre National de la Recherche Scientifique/LAAS (CNRS-LAAS), France
Cognitive Systems Research Institute (CSRI), Greece
Consorzio Nazionale delle Ricerche/ Istituto di Studi sui Sistemi Intelligenti per l'Automazione (CNR-ISSIA), Italy
Czech Technical University, Czech Institute of Informatics, Robotics and Cybernetic (CTU), Czech Republic
Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Istituto Italiano di Tecnologia (IIT), Italy
Laboratoire National de Métrologie et d’Essais (LNE), France
Middle East Technical University/KOVAN Research Lab (METU), Turkey
National Institute for R&D in Microtechnologies (IMT), Romania
National Technical University of Athens (NTUA), Greece
Riga Technical University/Dept. Artificial Intelligence and Systems Engineering (RTU), Latvia
Scuola Superiore Sant’Anna/The BioRobotics Institute (SSSA), Italy
Technical University of Kosice, Slovakia, Faculty of Electrical Engineering and Informatics, Department of Cybernetics and Artificial Intelligence, Centre for Intelligent technologies (TUK), Slovakia
Universitat Politecinca de Catalunya /Institut de Robotica i Informatica Industrial (UPC-IRI), Spain
Universitatea Transilvania Brasov/ Department of Automation and Information Technology (UTBV), Romania
Université Libre de Bruxelles/ IRIDIA (ULB), Belgium
University Carlos III of Madrid (UCM), Spain
University of Plymouth (UPL), United Kingdom
University of Zagreb, Faculty of Electrical Engineering and Computing (UNIZG-FER), Croatia
University of Twente (UTW), The Netherlands
Weizmann Institute of Science (WIS), Isreal
Vrije Universiteit Brussel (VUB), Belgium