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Learning RGB-D descriptors of garment parts for informed robot grasping

Autor
Ramisa, A.; Alenyà, G.; Moreno-Noguer, F.; Torras, C.
Tipus d'activitat
Article en revista
Revista
Engineering applications of artificial intelligence
Data de publicació
2014
Volum
35
Pàgina inicial
246
Pàgina final
258
DOI
https://doi.org/10.1016/j.engappai.2014.06.025 Obrir en finestra nova
Projecte finançador
FP7-ICT2009-6-269959 - IntellAct: Intelligent observation and execution of Actions and manipulations ViSen: Visual Sense, Tagging visual data with semantic descriptions
Visual Sense, Tagging visual data with semantic descriptions PCIN-2013-047
Repositori
http://hdl.handle.net/2117/26871 Obrir en finestra nova
Resum
Robotic handling of textile objects in household environments is an emerging application that has recently received considerable attention thanks to the development of domestic robots. Most current approaches follow a multiple re-grasp strategy for this purpose, in which clothes are sequentially grasped from different points until one of them yields a desired configuration. In this work we propose a vision-based method, built on the Bag of Visual Words approach, that combines appearance and 3...
Citació
Ramisa, A. [et al.]. Learning RGB-D descriptors of garment parts for informed robot grasping. "Engineering applications of artificial intelligence", 2014, vol. 35, p. 246-258.
Paraules clau
bag-of-visual-words NOTA PROJECTES: He creat un tercer projecte, classification, computer vision, garment part detection, machine learning, manipulators, object detection, pattern recognition, però no apareix (?) PAU+: Perception and Action in Robotics Problems with Large State Spaces Projecte Nacional DPI2011-27510 Finançat pel MInisteri, robot vision
Grup de recerca
ROBiri - Grup de Robòtica de l'IRI
VIS - Visió Artificial i Sistemes Intel.ligents

Participants