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Learning the semantics of object-action relations by observation

Autor
Aksoy , E.; Abramov, A.; Dörr, J.; Ning, K.; Dellen, B.; Wörgötter , F.
Tipus d'activitat
Article en revista
Revista
International journal of robotics research
Data de publicació
2011-10-28
Volum
30
Número
10
Pàgina inicial
1229
Pàgina final
1249
DOI
https://doi.org/10.1177/0278364911410459 Obrir en finestra nova
Projecte finançador
GARNICS: Gardening with a Cognitive System (FP7-ICT-247947)
Repositori
http://hdl.handle.net/2117/14016 Obrir en finestra nova
URL
http://dx.doi.org/10.1177/0278364911410459 Obrir en finestra nova
Resum
Recognizing manipulations performed by a human and the transfer and execution of this by a robot is a difficult problem. We address this in the current study by introducing a novel representation of the relations between objects at decisive time points during a manipulation. Thereby, we encode the essential changes in a visual scenery in a condensed way such that a robot can recognize and learn a manipulation without prior object knowledge. To achieve this we continuously track image segments in...
Paraules clau
Automation Pattern Recognition
Grup de recerca
ROBiri - Grup de Robòtica de l'IRI

Participants

  • Aksoy, Eren Erdal  (autor)
  • Abramov, Alexey  (autor)
  • Dörr, Johannes  (autor)
  • Ning, Kejun  (autor)
  • Dellen, Babette Karla Margarete  (autor)
  • Wörgötter, Florentin  (autor)