Objective 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. Fields of science natural sciencescomputer and information sciencesartificial intelligencecomputer visionengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsnatural sciencesmathematicsnatural sciencescomputer and information sciencesartificial intelligencemachine learning Programme(s) 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) Topic(s) ERC-SG-PE6 - ERC Starting Grant - Computer science and informatics Call for proposal ERC-2011-StG_20101014 See other projects for this call Funding Scheme ERC-SG - ERC Starting Grant Coordinator KUNGLIGA TEKNISKA HOEGSKOLAN Address Brinellvagen 8 100 44 Stockholm Sweden See on map Region Östra Sverige Stockholm Stockholms län Activity type Higher or Secondary Education Establishments Principal investigator Danica Kragic Jensfelt (Prof.) Administrative Contact Friné Portal (Ms.) Links Contact the organisation Opens in new window Website Opens in new window EU contribution No data Beneficiaries (1) Sort alphabetically Sort by EU Contribution Expand all Collapse all KUNGLIGA TEKNISKA HOEGSKOLAN Sweden EU contribution € 1 398 720,00 Address Brinellvagen 8 100 44 Stockholm See on map Region Östra Sverige Stockholm Stockholms län Activity type Higher or Secondary Education Establishments Principal investigator Danica Kragic Jensfelt (Prof.) Administrative Contact Friné Portal (Ms.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data
