Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/92454
Title: Integration of touch attention mechanisms to improve the robotic haptic exploration of surfaces
Authors: Martins, Ricardo Filipe Alves 
Ferreira, João Filipe
Castelo-Branco, Miguel 
Dias, Jorge
Issue Date: 26-Jan-2017
Serial title, monograph or event: Neurocomputing
Volume: 222
Abstract: This text presents the integration of touch attention mechanisms to improve the efficiency of the action-perception loop, typically involved in active haptic exploration tasks of surfaces by robotic hands. The progressive inference of regions of the workspace that should be probed by the robotic system uses information related with haptic saliency extracted from the perceived haptic stimulus map (exploitation) and a “curiosity”-inducing prioritisation based on the reconstruction's inherent uncertainty and inhibition-of-return mechanisms (exploration), modulated by top-down influences stemming from current task objectives, updated at each exploration iteration. This work also extends the scope of the top-down modulation of information presented in a previous work, by integrating in the decision process the influence of shape cues of the current exploration path. The Bayesian framework proposed in this work was tested in a simulation environment. A scenario made of three different materials was explored autonomously by a robotic system. The experimental results show that the system was able to perform three different haptic discontinuity following tasks with a good structural accuracy, demonstrating the selectivity and generalization capability of the attention mechanisms. These experiments confirmed the fundamental contribution of the haptic saliency cues to the success and accuracy of the execution of the tasks.
URI: http://hdl.handle.net/10316/92454
ISSN: 09252312
DOI: 10.1016/j.neucom.2016.10.027
Rights: embargoedAccess
Appears in Collections:I&D ICNAS - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat
full-text.pdffull-text2.94 MBAdobe PDFView/Open
Show full item record

Google ScholarTM

Check

Altmetric

Altmetric


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