Autonomous Robot Localization Using WiFi Fingerprinting Metadata

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Title

  • Main Title Autonomous Robot Localization Using WiFi Fingerprinting
  • Series Title University Scholars Day

Creator

  • Author: Bunkley, Terrence
    Creator Type: Personal
    Creator Info: University of North Texas
  • Author: Wright, Alex
    Creator Type: Personal
    Creator Info: University of North Texas
  • Contributor: Namuduri, Kamesh
    Creator Type: Personal
    Creator Info: University of North Texas; Faculty Mentor; kamesh.namuduri@unt.edu

Contributor

  • Sponsor: University of North Texas. Honors College.
    Contributor Type: Organization

Publisher

  • Name: University of North Texas. Honors College.
    Place of Publication: [Denton, Texas]

Date

  • Creation: 2011-04-14
  • Embargoed Until: 2013-04-14

Language

  • English

Description

  • Content Description: This paper discusses autonomous robot localization using WiFi fingerprinting.
  • Physical Description: 12 p.

Subject

  • Keyword: robots
  • Keyword: wireless networks
  • Keyword: geographic locations

Source

  • Journal: Eagle Feather, Issue 8, University of North Texas Honors College: Denton, Texas. 2011

Citation

  • Publication Title: The Eagle Feather
  • Issue: 2011
  • Volume: 8
  • Peer Reviewed: True

Relation

  • Is Version Of: Autonomous Robot Localization Using WiFi Fingerprinting [Presentation], ark:/67531/metadc93223

Collection

  • Name: The Eagle Feather
    Code: UNTEF
  • Name: UNT Undergraduate Student Works
    Code: UNTUGW

Institution

  • Name: UNT Honors College
    Code: UNTHON

Rights

  • Rights Access: public

Resource Type

  • Paper

Format

  • Text

Identifier

  • DOI: 10.12794/tef.2011.139
  • Archival Resource Key: ark:/67531/metadc94281

Degree

  • Academic Department: Computer Science and Engineering
  • Academic Department: Electrical Engineering
  • Academic Department: Mathematics

Note

  • Embargo Note: This item has a 2 year embargo period. For more information on this item or to inquire about obtaining a copy, please contact the authors directly.
  • Display Note: Abstract: We are using widely available 802.11 wireless networks to determine the location of autonomous robots. Before a robot can accomplish a simple task such as moving to a specific coordinate, it must accurately know its current location with-in a certain degree of accuracy. Humans often take their eye sight and spatial awareness for granted. For a robot, the computational difficulty of solving the same problem becomes apparent. Our implementation creates a database of wireless signal strengths of a given area and uses the current signal strength reading within the area to find a weighted signal space distance. The "closest" point in the database should also correlate with the current position of the robot. Given the robots correct location, the authors can successfully navigate around any area with sufficient Wi-Fi coverage.
  • Display Note: Eighth Annual University Scholars Day, 2011, Denton, Texas, United States.
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