Project description DEENESFRITPL Helping robots better interact with deformable objects Tasks that humans find simple and trivial are complex and difficult for a robot to perform. When interacting with objects, the robot needs a greater understanding of the geometrical, topological and physical properties of these objects. This can be done either by modelling and representing these properties or by learning them from data. The main goal of the EU-funded BIRD project is to create new informative and compact representations of deformable objects that incorporate both analytical and learning-based approaches. The new representations should also encode geometric, topological and physical information about the robot, the object and the environment. The project's results are expected to reveal more about sensorimotor behaviour in bimanual robot systems. Show the project objective Hide the project objective Objective All day long, our fingers touch, grasp and move objects in various media such as air, water, oil. We do this almost effortlessly - it feels like we do not spend time planning and reflecting over what our hands and fingers do or how the continuous integration of various sensory modalities such as vision, touch, proprioception, hearing help us to outperform any other biological system in the variety of the interaction tasks that we can execute. Largely overlooked, and perhaps most fascinating is the ease with which we perform these interactions resulting in a belief that these are also easy to accomplish in artificial systems such as robots. However, there are still no robots that can easily hand-wash dishes, button a shirt or peel a potato. Our claim is that this is fundamentally a problem of appropriate representation or parameterization. When interacting with objects, the robot needs to consider geometric, topological, and physical properties of objects. This can be done either explicitly, by modeling and representing these properties, or implicitly, by learning them from data. The main scientific objective of this project is to create new informative and compact representations of deformable objects that incorporate both analytical and learning-based approaches and encode geometric, topological, and physical information about the robot, the object, and the environment. We will do this in the context of challenging multimodal, bimanual object interaction tasks. The focus will be on physical interaction with deformable objects using multimodal feedback. To meet these objectives, we will use theoretical and computational methods together with rigorous experimental evaluation to model skilled sensorimotor behavior in bimanual robot systems. Fields of science natural sciencescomputer and information sciencescomputational science Programme(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Topic(s) ERC-2019-ADG - ERC Advanced Grant Call for proposal ERC-2019-ADG See other projects for this call Funding Scheme ERC-ADG - Advanced Grant Coordinator KUNGLIGA TEKNISKA HOEGSKOLAN Net EU contribution € 2 424 186,00 Address Brinellvagen 8 100 44 Stockholm Sweden See on map Region Östra Sverige Stockholm Stockholms län Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,25 Beneficiaries (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all KUNGLIGA TEKNISKA HOEGSKOLAN Sweden Net EU contribution € 2 424 186,00 Address Brinellvagen 8 100 44 Stockholm See on map Region Östra Sverige Stockholm Stockholms län Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,25
