Biologically inspired path execution using SURF flow in robot navigation

Xavier Perez-Sala*, Cecilio Angulo, Sergio Escalera

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

3 Citations (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.

Original languageEnglish
Title of host publicationAdvances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings
Number of pages8
Publication date2011
EditionPART 2
Pages581-588
ISBN (Print)9783642214974
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event11th International Work-Conference on on Artificial Neural Networks, IWANN 2011 - Torremolinos-Malaga, Spain
Duration: 8 Jun 201110 Jun 2011

Conference

Conference11th International Work-Conference on on Artificial Neural Networks, IWANN 2011
Country/TerritorySpain
CityTorremolinos-Malaga
Period08/06/201110/06/2011
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6692 LNCS
ISSN0302-9743

Keywords

  • Optical flow
  • Path execution
  • Robot navigation
  • SURF

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