Project description Robotics, Cognitive Systems and Smart Spaces, Symbiotic Interaction Show the project objective Hide the project 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.TACMAN 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.Commercially 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.TACMAN 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. Fields of science social sciencessociologyindustrial relationsautomationengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsnatural sciencescomputer and information sciencesartificial intelligencemachine learningnatural sciencescomputer and information sciencesdata sciencedata processingsocial scienceslaw Programme(s) FP7-ICT - Specific Programme "Cooperation": Information and communication technologies Topic(s) ICT-2013.2.1 - Robotics, Cognitive Systems & Smart Spaces, Symbiotic Interaction Call for proposal FP7-ICT-2013-10 See other projects for this call Funding Scheme CP - Collaborative project (generic) Coordinator TECHNISCHE UNIVERSITAET MUENCHEN Address Arcisstrasse 21 80333 Muenchen Germany See on map Region Bayern Oberbayern München, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Administrative Contact Alois Knoll (Prof.) Links Contact the organisation Opens in new window Website Opens in new window EU contribution No data Participants (4) Sort alphabetically Sort by EU Contribution Expand all Collapse all TECHNISCHE UNIVERSITAT DARMSTADT Germany EU contribution € 770 522,00 Address Karolinenplatz 5 64289 Darmstadt See on map Region Hessen Darmstadt Darmstadt, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Administrative Contact Melanie Meermann-Zimmermann (Dr.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA Italy EU contribution € 398 773,00 Address Via morego 30 16163 Genova See on map Region Nord-Ovest Liguria Genova Activity type Research Organisations Administrative Contact Giulia Campodonico (Ms.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data UMEA UNIVERSITET Sweden EU contribution € 360 434,00 Address Universitetomradet 901 87 Umea See on map Region Norra Sverige Övre Norrland Västerbottens län Activity type Higher or Secondary Education Establishments Administrative Contact Tallander Anna-Lena (Ms.) Links Contact the organisation Opens in new window Website Opens in new window Other funding No data FORTISS GMBH Germany EU contribution € 39 374,00 Address Guerickestrasse 25 80805 Munchen See on map Region Bayern Oberbayern München, Kreisfreie Stadt Activity type Research Organisations Administrative Contact Ines Lenz Links Contact the organisation Opens in new window Website Opens in new window Other funding No data
