Biologically inspired path execution using SURF flow in robot navigation

Xavier Perez-Sala*, Cecilio Angulo, Sergio Escalera

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

3 Citationer (Scopus)

Abstract

An exportable and robust system using only camera images is proposed for path execution in robot navigation. Motion information is extracted in the form of optical flow from SURF robust descriptors of consecutive frames, so the method is called SURF flow. This information is used to correct robot displacement when a straight forward path command is sent to the robot, but it is not really executed due to several robot and environmental concerns. The proposed system has been successfully tested on the legged robot Aibo.

OriginalsprogEngelsk
TitelAdvances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings
Antal sider8
Publikationsdato2011
UdgavePART 2
Sider581-588
ISBN (Trykt)9783642214974
DOI
StatusUdgivet - 2011
Udgivet eksterntJa
Begivenhed11th International Work-Conference on on Artificial Neural Networks, IWANN 2011 - Torremolinos-Malaga, Spanien
Varighed: 8 jun. 201110 jun. 2011

Konference

Konference11th International Work-Conference on on Artificial Neural Networks, IWANN 2011
Land/OmrådeSpanien
ByTorremolinos-Malaga
Periode08/06/201110/06/2011
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NummerPART 2
Vol/bind6692 LNCS
ISSN0302-9743

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