TACMAN
Tactile Manipulation
| Coordinatore | TECHNISCHE UNIVERSITAET MUENCHEN
Organization address
address: Boltzmannstr. 3 contact info |
| 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
| # | ||||
|---|---|---|---|---|
| 1 |
TECHNISCHE UNIVERSITAET MUENCHEN
Organization address
address: Boltzmannstr. 3 contact info |
DE (Garching) | coordinator | 0.00 |
| 2 |
FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA
Organization address
address: VIA MOREGO contact info |
IT (GENOVA) | participant | 0.00 |
| 3 |
FORTISS GMBH
Organization address
address: BOLTZMANNSTRASSE contact info |
DE (GARCHING) | participant | 0.00 |
| 4 |
TECHNISCHE UNIVERSITAET DARMSTADT
Organization address
address: Karolinenplatz contact info |
DE (DARMSTADT) | participant | 0.00 |
| 5 |
UMEA UNIVERSITET
Organization address
address: UNIVERSITETOMRADET contact info |
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.