Cel A vision for the future are autonomous and semi-autonomous systems that perform complex tasks safely and robustly in interaction with humans and the environment. The action of such a system needs to be carefully planned and executed, taking into account the available sensory feedback and knowledge about the environment. Many of the existing approaches view motion planning as a geometrical problem, not taking the uncertainty into account. Our goal is to study how different type of representations and algorithms from the area of machine learning and classical mathematics can be used to solve some of the open problems in the area of action recognition and action generation.FLEXBOT will explore how how topological representations can be used for an integrated approach toward i) vision based understanding of complex human hand motion, ii) mapping and control of robotics hands and iii) integrating the topological representations with models for high-level task encoding and planning.Our research opens for new and important areas scientifically and technologically. Scientifically, we push for new way of thinking in an area that has traditionally been born from mechanical modeling of bodies. Technologically, we will provide methods plausible for evaluation of new designs of robotic and prosthetic hands. Further development of machine learning and computer vision methods will allow for scene understanding that goes beyond the assumption of worlds of rigid bodies, including complex objects such as hands. Dziedzina nauki natural sciencescomputer and information sciencesartificial intelligencecomputer visionengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsnatural sciencesmathematicsnatural sciencescomputer and information sciencesartificial intelligencemachine learning Program(-y) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Temat(-y) ERC-SG-PE6 - ERC Starting Grant - Computer science and informatics Zaproszenie do składania wniosków ERC-2011-StG_20101014 Zobacz inne projekty w ramach tego zaproszenia System finansowania ERC-SG - ERC Starting Grant Instytucja przyjmująca KUNGLIGA TEKNISKA HOEGSKOLAN Wkład UE € 1 398 720,00 Adres BRINELLVAGEN 8 100 44 Stockholm Szwecja Zobacz na mapie Region Östra Sverige Stockholm Stockholms län Rodzaj działalności Higher or Secondary Education Establishments Kierownik naukowy Danica Kragic Jensfelt (Prof.) Kontakt administracyjny Friné Portal (Ms.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych Beneficjenci (1) Sortuj alfabetycznie Sortuj według wkładu UE Rozwiń wszystko Zwiń wszystko KUNGLIGA TEKNISKA HOEGSKOLAN Szwecja Wkład UE € 1 398 720,00 Adres BRINELLVAGEN 8 100 44 Stockholm Zobacz na mapie Region Östra Sverige Stockholm Stockholms län Rodzaj działalności Higher or Secondary Education Establishments Kierownik naukowy Danica Kragic Jensfelt (Prof.) Kontakt administracyjny Friné Portal (Ms.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych