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Improving Grasping Forces during the Manipulation of Unknown Objects

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

Many of the solutions proposed for the object manipulation problem are based on the knowledge of the object features. The approach proposed in this paper intends to provide a simple geometrical approach to securely manipulate an unknown object based only on tactile and kinematic information. The tactile and kinematic data obtained during the manipulation is used to recognize the object shape (at least the local object curvature), allowing to improve the grasping forces when this information is added to the manipulation strategy. The approach has been fully implemented and tested using the Schunk Dexterous Hand (SDH2). Experimental results are shown to illustrate the efficiency of the approach.

Idioma originalInglés
Título de la publicación alojada2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas3490-3495
Número de páginas6
ISBN (versión digital)9781538680940
DOI
EstadoPublicada - 27 dic 2018
Publicado de forma externa
Evento2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018 - Madrid, Espana
Duración: 1 oct 20185 oct 2018

Serie de la publicación

NombreIEEE International Conference on Intelligent Robots and Systems
ISSN (versión impresa)2153-0858
ISSN (versión digital)2153-0866

Conferencia

Conferencia2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018
País/TerritorioEspana
CiudadMadrid
Período1/10/185/10/18

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