Project description Cognitive Systems and RoboticsActions performed at plants interacting with humansThe http://www.garnics.eu" target="_blank">GARNICS project aims at 3D sensing of plant growth and building perceptual representations for learning the links to actions of a robot gardener. Plants are complex, self-changing systems with increasing complexity over time. Actions performed at plants (like watering), will have strongly delayed effects. Thus, monitoring and controlling plants is a difficult perception-action problem requiring advanced predictive cognitive properties, which so far can only be provided by experienced human gardeners. Sensing and control of the actual properties of a plant is relevant to e.g. seed production and plant breeders. Plant models will be acquired and by interacting with a human gardener the system will be taught the different cause-effect relations resulting from possible treatments. The robot gardener will be able to choose from its learned repertoire the appropriate actions for optimal plant growth. Show the project objective Hide the project objective The GARNICS project aims at 3D sensing of plant growth and building perceptual representations for learning the links to actions of a robot gardener. Plants are complex, self-changing systems with increasing complexity over time. Actions performed at plants (like watering), will have strongly delayed effects. Thus, monitoring and controlling plants is a difficult perception-action problem requiring advanced predictive cognitive properties, which so far can only be provided by experienced human gardeners. Sensing and control of a plants actual properties, i.e. its phenotype, is relevant to e.g. seed production and plant breeders. We address plant sensing and control by combining active vision with appropriate perceptual representations, which are essential for cognitive interactions. Core ingredients for these representations are channel representations, dynamic graphs and cause-effect couples (CECs). Channel representations are a wavelet-like, biologically motivated information representation, which can be generalized coherently using group theory. Using these representations, plant models -- represented by dynamic graphs -- will be acquired and by interacting with a human gardener the system will be taught the different cause-effect relations resulting from possible treatments. Employing decision making and planning processes via CECs, our robot gardener will then be able to choose from its learned repertoire the appropriate actions for optimal plant growth. This way we will arrive at an adaptive, interactive cognitive system, which will be implemented and tested in an industrially-relevant plant-phenotyping application. Programme(s) FP7-ICT - Specific Programme "Cooperation": Information and communication technologies Topic(s) ICT-2009.2.1 - Cognitive Systems and Robotics Call for proposal FP7-ICT-2009-4 See other projects for this call Funding Scheme CP - Collaborative project (generic) Coordinator Contact Hanno SCHARR Mr. Coordinator FORSCHUNGSZENTRUM JULICH GMBH Address Wilhelm johnen strasse 52428 Julich Germany See on map Region Nordrhein-Westfalen Köln Düren Activity type Research Organisations Administrative Contact Petra Insberg Links Contact the organisation Opens in new window Website Opens in new window EU contribution No data Participants (3) Sort alphabetically Sort by EU Contribution Expand all Collapse all GEORG-AUGUST-UNIVERSITAT GOTTINGEN STIFTUNG OFFENTLICHEN RECHTS Germany EU contribution € 616 755,00 Address Wilhelmsplatz 1 37073 Gottingen See on map Region Niedersachsen Braunschweig Göttingen Activity type Higher or Secondary Education Establishments Administrative Contact Ursula Hahn-Woergoetter (Ms.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGACIONES CIENTIFICAS Spain EU contribution € 477 637,00 Address Calle serrano 117 28006 Madrid See on map Region Comunidad de Madrid Comunidad de Madrid Madrid Activity type Research Organisations Administrative Contact Carlos Manuel Abad Ruiz (Mr.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data Linköping University Sweden EU contribution € 781 485,00 Address Campus valla 581 83 Linköping See on map Activity type Higher or Secondary Education Establishments Administrative Contact Christina Henriksson (Ms.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data
