GRASP

Emergence of Cognitive Grasping through Emulation, Introspection, and Surprise

 Coordinatore 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

 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

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

artificial    robotic    manipulation    theoretical    object    limited    grasping    hands    cognitive    ability    grasp    environments    human    humans    real   

 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.

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