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Humanoid robot localization based on hybrid map

  • Xiandong Xu
  • , Bingrong Hong
  • , Yi Guan
  • School of Computer Science and Technology, Harbin Institute of Technology

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

Abstract

In this paper we present a hybrid map based localization method for humanoid robot. A indoor hybrid map is created by a humanoid robot NAO with a camera and a laser range finder. A global topological map is constructed by natural landmarks, and local metrical maps are established using improved Rao-Blackwellized particle filter. In addition, we set up auxiliary semantic layer based on QR code. and a unified framework of semantic-topological-metric hybrid map is set up. An accurate localization result was obtained by combine a global localization based on topological map and local positioning using KLD-MCL, Experiments shows the method can meet the requirements of indoor localization for a humanoid robot.

Original languageEnglish
Title of host publication2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages509-514
Number of pages6
ISBN (Electronic)9781538630167
DOIs
StatePublished - 2 Jul 2017
Externally publishedYes
Event2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017 - Shenzhen, China
Duration: 15 Dec 201717 Dec 2017

Publication series

Name2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
Volume2018-January

Conference

Conference2017 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2017
Country/TerritoryChina
CityShenzhen
Period15/12/1717/12/17

Keywords

  • Humanoid robot
  • KLD-MCL
  • global localization
  • metrical map
  • topological map

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