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Visual grasp point localization, classification and state recognition in robotic manipulation of cloth: an overview

Author
Jimenez, P.
Type of activity
Journal article
Journal
Robotics and autonomous systems
Date of publication
2017
Volume
92
First page
107
Last page
125
DOI
https://doi.org/10.1016/j.robot.2017.03.009 Open in new window
Repository
http://hdl.handle.net/2117/113083 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0921889016303517?via%3Dihub Open in new window
Abstract
Cloth manipulation by robots is gaining popularity among researchers because of its relevance, mainly (but not only) in domestic and assistive robotics. The required science and technologies begin to be ripe for the challenges posed by the manipulation of soft materials, and many contributions have appeared in the last years. This survey provides a systematic review of existing techniques for the basic perceptual tasks of grasp point localization, state estimation and classification of cloth ite...
Citation
Jimenez, P. Visual grasp point localization, classification and state recognition in robotic manipulation of cloth: an overview. "Robotics and autonomous systems", 2017, vol. 92, p. 107-125.
Keywords
Cloth state recognition, Clothing, Deformable object manipulation, Garment classification, Grasp point localization, Robotic vision, robot vision, service robots
Group of research
ROBiri - IRI Robotics Group

Participants