Generalising Robot Manipulation Task
(GeRT)
Date du début: 1 mars 2010,
Date de fin: 28 févr. 2013
PROJET
TERMINÉ
Description
Teaching the use of functional object classes through learning by doing
In order to work naturally in human environments such as offices and homes, robots of the future will need to be much more flexible and robust in the face of novelty than those of today. GeRT will develop new methods to cope with novelty in manipulation tasks. Humans cope so seamlessly with novel objects, but this kind of everyday novelty in manipulation tasks is hard for a robot. Robots need ways of generalising on the fly to cope with novel objects and novel tasks. To achieve this GeRT will use a variety of techniques from machine perception, machine learning, and artificial intelligence techniques such as automated planning.
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Coordinateur
DEUTSCHES ZENTRUM FUER LUFT - UND RAUMFAHRT EV
€ 996 906,00- Dunja Grote
- Muenchnerstr. 20 D-82234 Wessling (Germany)
4 Participants partenaires
- Patrice Wegener
- Hofgartenstrasse 80539 MUENCHEN (Germany)
TECHNISCHE UNIVERSITAET DARMSTADT
€ 336 497,00- Jan Peters
- Karolinenplatz 64289 DARMSTADT (Germany)
OREBRO UNIVERSITY
€ 503 968,00- Silvia Coradeschi
- FAKULTETSGATAN 70182 OEREBRO (Sweden)
THE UNIVERSITY OF BIRMINGHAM
€ 907 068,00- Robert Fekete
- Edgbaston B15 2TT BIRMINGHAM (United Kingdom)