skip to main content
Idioma:

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

Jimenez Schlegl, Pablo

Robotics and autonomous systems, 2017-06, Vol.92, p.107-125 [Periódico revisado por pares]

Elsevier B.V

Texto completo disponível

Citações Citado por
  • Título:
    Visual grasp point localization, classification and state recognition in robotic manipulation of cloth: An overview
  • Autor: Jimenez Schlegl, Pablo
  • Assuntos: Classificació INSPEC ; Cloth state recognition ; Computer vision ; Deformable object manipulation ; Garment classification ; Grasp point localization ; Informàtica ; Pattern recognition ; robot vision ; Robotic vision ; Robòtica ; service robots ; Àrees temàtiques de la UPC
  • É parte de: Robotics and autonomous systems, 2017-06, Vol.92, p.107-125
  • Descrição: 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 items, from the perspective of their manipulation by robots. This choice is grounded on the fact that any manipulative action requires to instruct the robot where to grasp, and most garment handling activities depend on the correct recognition of the type to which the particular cloth item belongs and its state. The high inter- and intraclass variability of garments, the continuous nature of the possible deformations of cloth and the evident difficulties in predicting their localization and extension on the garment piece are challenges that have encouraged the researchers to provide a plethora of methods to confront such problems, with some promising results. The present review constitutes for the first time an effort in furnishing a structured framework of these works, with the aim of helping future contributors to gain both insight and perspective on the subject. •An exhaustive and up-to-date survey on common computer vision tasks for robot cloth manipulation is provided.•State-of-the-art research on grasp point localization, classification and state recognition of cloth items is presented in a structured way.•Insight on current and future trends in computer vision tasks for robot cloth manipulation is gained by examining and comparing the presented works.•This comprehensive view helps the researcher to evaluate alternatives and to contextualize their own work.
  • Editor: Elsevier B.V
  • Idioma: Inglês
Voltar para lista de resultados
Ir para página anteriorAnterior Resultado  5 AvançarIr para próxima página

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.