TACMAN

Tactile Manipulation

Coordinatore	TECHNISCHE UNIVERSITAET MUENCHEN    more  Organization address address: Boltzmannstr. 3 city: Garching postcode: 85748 contact info Titolo: Prof. Nome: Alois Cognome: Knoll Email: send email Telefono: +49 89 289 18106 Fax: +49 89 289 18107
Nazionalità Coordinatore	Germany [DE]
Totale costo	3˙159˙800 €
EC contributo	2˙399˙458 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Code Call	FP7-ICT-2013-10
Funding Scheme	CP
Anno di inizio	2014
Periodo (anno-mese-giorno)	2014-01-01   -   2016-12-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	TECHNISCHE UNIVERSITAET MUENCHEN  Organization address address: Boltzmannstr. 3 city: Garching postcode: 85748 contact info Titolo: Prof. Nome: Alois Cognome: Knoll Email: send email Telefono: +49 89 289 18106 Fax: +49 89 289 18107	DE (Garching)	coordinator	0.00
2	FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA  Organization address address: VIA MOREGO city: GENOVA postcode: 16163 contact info Titolo: Ms. Nome: Giulia Cognome: Campodonico Email: send email Telefono: +39 010 71781 737 Fax: +39 010 720321	IT (GENOVA)	participant	0.00
3	FORTISS GMBH  Organization address address: BOLTZMANNSTRASSE city: GARCHING postcode: 85748 contact info Nome: Ines Cognome: Lenz Email: send email Telefono: +49 89 3603522 12 Fax: +49 89 60 352250	DE (GARCHING)	participant	0.00
4	TECHNISCHE UNIVERSITAET DARMSTADT  Organization address address: Karolinenplatz city: DARMSTADT postcode: 64289 contact info Titolo: Dr. Nome: Melanie Cognome: Meermann-Zimmermann Email: send email Telefono: +49 6151 16 75972 Fax: +49 6151 16 2478	DE (DARMSTADT)	participant	0.00
5	UMEA UNIVERSITET  Organization address address: UNIVERSITETOMRADET city: UMEA postcode: 901 87 contact info Titolo: Ms. Nome: Tallander Cognome: Anna-Lena Email: send email Telefono: +46 90 786 5123 Fax: +46 907866683	SE (UMEA)	participant	0.00

Mappa

 Word cloud

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 Obiettivo del progetto (Objective)

TACMAN addresses the key problem of developing an information processing and control technology enabling robot hands to exploit tactile sensitivity and thus become as dexterous as human hands. The current availability of the required technology now allows us to considerably advance in-hand manipulation. TACMAN's goal is to develop fundamentally new approaches which can replace manual labor under inhumane conditions by endowing robots with such tactile manipulation abilities, by transferring insights from human neuroscientific studies into machine learning algorithms.nnTACMAN will provide an innovative new technology that is key for bringing industrial manufacturing back to Europe. Consider the case of the iPhone, where most mechanical manipulation of the major components is achieved by manual human labor under terrible work conditions and not by advanced industrial robots--despite that millions of iPhones are industrially assembled per month. The reason for this absence of appropriate automation is the lack of manipulation skills of current robots.nnCommercially available robotic hand-arm systems move more accurately and faster than humans, and their sensors see more and at a higher precision--even the smallest forces and torques can be detected. Despite these impressive sensori-motor abilities, current robots are terrible at manipulation when compared to humans. Neuro- science provides a clear reason for the superiority of human hands: During manipulation, humans make substantial use of the data from tactile sensors, i.e., the information obtained through the feeling in the human's fingers. Robot hands are lacking this key ability! Hence, the rationale of TACMAN is that this performance gap in manipulation ability can be filled by (1) making such tactile sensory comprehensible, and (2) use the information provided by such sensors intelligently for behavior generation.nnTACMAN aims to integrate the most robust available tactile sensors into the control of existing modern robot hands, and, based on this control law, develop tactile sensor-based manipulation solutions. To make this innovation tractable in a three year project, we aim only on recognising and handling objects that are already in the hand. The structure of the project is designed to allow quick scaling from straightforward, well-captured scenarios employing a single finger to complex multi-fingered manipulation.