A cognitive modeling of space using fingerprints of places for mobile robot navigation

Adriana Tapus, Roland Siegwart

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work we address the problem of perception, spatial cognition and topological navigation for a mobile robot. The objective of this work is to enable the navigation of an autonomous mobile robot (or vehicle) in an indoor (or outdoor) structured environment without relying on maps a priori learned and without using artificial landmarks. A new method for incremental and automatic topological mapping and global localization using fingerprints of places is presented. The fingerprint-based representation permits a reliable, compact and distinctive environment-modeling. Experimental results for mapping indoor and outdoor environments with a mobile robot and a "SMART" vehicle, both equipped with a multi-sensor system composed of two 180° laser range finders and an omni-directional camera are also reported.

Original languageEnglish
Title of host publicationProceedings 2006 IEEE International Conference on Robotics and Automation, ICRA 2006
Pages1188-1193
Number of pages6
DOIs
Publication statusPublished - 27 Dec 2006
Externally publishedYes
Event2006 IEEE International Conference on Robotics and Automation, ICRA 2006 - Orlando, FL, United States
Duration: 15 May 200619 May 2006

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume2006
ISSN (Print)1050-4729

Conference

Conference2006 IEEE International Conference on Robotics and Automation, ICRA 2006
Country/TerritoryUnited States
CityOrlando, FL
Period15/05/0619/05/06

Keywords

  • Cognitive mapping
  • Fingerprints of places
  • Multi-modal perception
  • Topological navigation

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