Adaptive tactile control for in-hand manipulation tasks of deformable objects

Please use this identifier to cite or link to this item:
Información del item - Informació de l'item - Item information
Title: Adaptive tactile control for in-hand manipulation tasks of deformable objects
Authors: Delgado Rodríguez, Ángel | Jara, Carlos A. | Torres, Fernando
Research Group/s: Automática, Robótica y Visión Artificial
Center, Department or Service: Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad de Alicante. Instituto Universitario de Investigación Informática
Keywords: Tactile sensing | In-hand learning | In-hand manipulation | Contact maintenance
Knowledge Area: Ingeniería de Sistemas y Automática
Issue Date: Aug-2017
Publisher: Springer London
Citation: The International Journal of Advanced Manufacturing Technology. 2017, 91(9-12): 4127-4140. doi:10.1007/s00170-017-0046-2
Abstract: Tactile sensors are key components for a robot hand system, which are usually used to obtain the object’s features. The use of tactile sensors to obtain information from the objects is an open topic of research. In this paper, a new strategy for in-hand extraction of object’s properties and for control of the interaction forces with robot fingers, mainly based on tactile data, is presented. The scope of this strategy is to grasp and manipulate solid objects, including rigid and soft bodies. Assuming that the hand is in an initial configuration in which the object is grasped, the properties’ extraction approach is executed. After the extraction of properties is finished, the object can be classified in regard to a general body listing: rigid body, soft elastic body, or soft plastic object. Once the object is classified, for in-hand manipulation tasks, the contact points between the object grasped and the fingers are maintained using the information given by the tactile sensors in order to perform manipulation tasks. Each task is defined by a sequence of basic actions, in which the contact points and applied forces are adapted depending on the action to be performed and the estimated features for the object. The presented approach tries to imitate the behavior of human beings, in which the applied forces by the fingers are changed when the human estimates the rigidity of a body and when the fingers react to unexpected movements of the object to keep the contact points.
Sponsor: This research is supported by the Spanish Ministry of Economy, European FEDER funds, the Valencia Regional Government, and University of Alicante, through projects DPI2015-68087-R, PROMETEO/2013/085, and GRE 15-05.
ISSN: 0268-3768 (Print) | 1433-3015 (Online)
DOI: 10.1007/s00170-017-0046-2
Language: eng
Type: info:eu-repo/semantics/article
Rights: © Springer-Verlag London 2017
Peer Review: si
Publisher version:
Appears in Collections:INV - AUROVA - Artículos de Revistas
INV - HURO - Artículos de Revistas

Files in This Item:
Files in This Item:
File Description SizeFormat 
Thumbnail2017_Delgado_etal_IntJAdvManufTechnol_final.pdfVersión final (acceso restringido)7,6 MBAdobe PDFOpen    Request a copy
Thumbnail2017_Delgado_etal_IntJAdvManufTechnol_rev.pdfVersión revisada (acceso abierto)1,17 MBAdobe PDFOpen Preview

Items in RUA are protected by copyright, with all rights reserved, unless otherwise indicated.