GRASP

Emergence of Cognitive Grasping through Emulation, Introspection, and Surprise

Coordinatore	KUNGLIGA TEKNISKA HOEGSKOLAN    more  Organization address address: Lindstedsvagen 3 city: Stockholm postcode: 10044 contact info Titolo: Dr Nome: Ingrid Cognome: Melinder Email: send email Telefono: -7907760 Fax: -7900892
Nazionalità Coordinatore	Sweden [SE]
Totale costo	7˙869˙539 €
EC contributo	5˙950˙000 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Code Call	FP7-ICT-2007-1
Funding Scheme	CP
Anno di inizio	2008
Periodo (anno-mese-giorno)	2008-03-01   -   2012-02-29

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	KUNGLIGA TEKNISKA HOEGSKOLAN  Organization address address: Lindstedsvagen 3 city: Stockholm postcode: 10044 contact info Titolo: Dr Nome: Ingrid Cognome: Melinder Email: send email Telefono: -7907760 Fax: -7900892	SE (Stockholm)	coordinator	0.00
2	FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS  Organization address address: N PLASTIRA STR city: HERAKLION postcode: 70013 contact info Titolo: MRS Nome: ZINOVIA Cognome: PAPATHEODOROU Email: send email Telefono: -394302 Fax: -394335	EL (HERAKLION)	participant	0.00
3	Karlsruher Institut fuer Technologie  Organization address address: Kaiserstrasse city: Karlsruhe postcode: 76131 contact info Titolo: Prof Nome: Ruediger Cognome: Dillmann Email: send email Telefono: -6084518 Fax: -6085006	DE (Karlsruhe)	participant	0.00
4	LAPPEENRANNAN TEKNILLINEN YLIOPISTO  Organization address address: SKINNARILANKATU 34 city: LAPPEENRANTA postcode: 53850 contact info Titolo: Ms. Nome: TIINA Cognome: KUKKURAINEN Email: send email Telefono: -5177872 Fax: -6211997	FI (LAPPEENRANTA)	participant	0.00
5	LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN  Organization address address: LEOPOLDSTRASSE city: MUENCHEN postcode: 80802 contact info Titolo: Prof. Nome: Heiner Cognome: Deubel Email: send email Telefono: -21805322	DE (MUENCHEN)	participant	0.00
6	OTTO BOCK HEALTHCARE PRODUCTS GMBH  Organization address address: KAISERSTRASSE 39 city: WIEN postcode: 1070 contact info Titolo: DR. Nome: HANS Cognome: DIETL Email: send email Telefono: -15233786587 Fax: -5232222	AT (WIEN)	participant	0.00
7	TECHNISCHE UNIVERSITAET MUENCHEN  Organization address address: ARCISSTRASSE 21 city: MUENCHEN postcode: 80333 contact info Titolo: Ms. Nome: Ulrike Cognome: Ronchetti Email: send email Telefono: -928922118 Fax: -28922660	DE (MUENCHEN)	participant	0.00
8	TECHNISCHE UNIVERSITAET WIEN  Organization address address: KARLSPLATZ 13 city: WIEN postcode: 1040 contact info Titolo: Prof. Nome: Markus Cognome: Vincze Email: send email Telefono: 43121140 Fax: 43121104	AT (WIEN)	participant	0.00
9	UNIVERSITAT JAUME I DE CASTELLON  Organization address address: AVENIDA VICENT SOS BAYNAT S/N city: CASTELLON DE LA PLANA postcode: 12071 contact info Titolo: Mrs Nome: CRISTINA Cognome: VILLARROYA-BERTES Email: send email Telefono: -729657 Fax: -729660	ES (CASTELLON DE LA PLANA)	participant	0.00

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 Obiettivo del progetto (Objective)

Compared to humans or primates, the ability of contemporary robotic hands is suprisingly limited, they can grasp only few objects in constricted poses with limited grasping postures and position. The aim of GRASP is the design of a cognitive system capable of performing tasks in open-ended environments, dealing with uncertainty and novel situations. We have decided to study the problem of object manipulation and grasping, by providing theoretical and measurable basis for system design that are valid in both human and artificial systems. We believe that this is of utmost importance for the design of artificial cognitive systems that are to be deployed in real environments and interact with humans and other artificial agents. Such systems need the ability to exploit the innate knowledge and self-understanding to gradually develop cognitive capabilities. To demonstrate the feasibility of our approach, we will instantiate, implement and evaluate our theories on robot systems with different emobodiments and levels of complexity. These systems will operate in real-world scenarios, with and without human intervention and tutoring.nnGRASP will develop means for robotic systems to reason about graspable targets, to explore and investigate their physical properties and finally to make artificial hands grasp any object. We will use theoretical, computational and experimental studies to model skilled sensorimotor behavior based on known principles governing grasping and manipulation tasks performed by humans. Therefore, GRASP sets out to integrate a large body of findings from disciplines such as neuroscience, cognitive science, robotics, multi-modal perception and machine learning to achieve a core capability: Grasping any object by building up relations between task setting, embodied hand actions, object attributes, and contextual knowledge.