Intelligent radio based positioning and fuzzy based navigation for robotic wheelchair with wireless local area networks

Bing-Fei Wu*, Cheng Lung Jen, Tzu Wei Huang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Based on wireless local area networks (WLAN), this paper presents the navigation of a robotic wheelchair. We propose a radio based robot localization with a particle filter by using received signal strength from WLAN. An intelligent strategy is proposed to select the informative WLAN signals and reduce the algorithm complexity. Furthermore, we introduce a graphic feature node extraction to explore the topology and linkages of a given graphic map. Based on the radio positioning and graphic map features, path planning can be provided for the task environment to accomplish the robot navigation with a fuzzy based behavior decision. Thus, the robotic wheelchair could response to the real dynamical environment. The experimental results conducted on real WLAN measurements indicate that the proposed approach provides the accurate localization and auto navigation services.

Original languageEnglish
Title of host publicationProceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011
Pages61-64
Number of pages4
DOIs
StatePublished - 1 Dec 2011
Event1st International Conference on Robot, Vision and Signal Processing, RVSP 2011 - Kaohsiung, Taiwan
Duration: 21 Nov 201123 Nov 2011

Publication series

NameProceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011

Conference

Conference1st International Conference on Robot, Vision and Signal Processing, RVSP 2011
CountryTaiwan
CityKaohsiung
Period21/11/1123/11/11

Keywords

  • Fuzzy based behavior decision
  • Particle filter
  • Path planning
  • Robot localization
  • Wireless local area networks

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    Wu, B-F., Jen, C. L., & Huang, T. W. (2011). Intelligent radio based positioning and fuzzy based navigation for robotic wheelchair with wireless local area networks. In Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011 (pp. 61-64). [6114895] (Proceedings - 1st International Conference on Robot, Vision and Signal Processing, RVSP 2011). https://doi.org/10.1109/RVSP.2011.61