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This paper discusses autonomous robot localization using WiFi fingerprinting.
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12 p.
Notes
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.
Eighth Annual University Scholars Day, 2011, Denton, Texas, United States.
Autonomous Robot Localization Using WiFi Fingerprinting [Presentation], ark:/67531/metadc93223
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The Eagle Feather
Launched in 2004 by UNT's Honors College, The Eagle Feather was an interdisciplinary undergraduate research journal that promoted the work of students and their faculty mentors. The Eagle Feather was published annually until 2017 when it transitioned into the North Texas Journal of Undergraduate Research.
This collection presents scholarly and artistic content created by undergraduate students. All materials have been previously accepted by a professional organization or approved by a faculty mentor. Most classroom assignments are not eligible for inclusion. The collection includes, but is not limited to Honors College theses, thesis supplemental files, professional presentations, articles, and posters. Some items in this collection are restricted to use by the UNT community.
Presentation for the 2011 University Scholars Day at the University of North Texas discussing research on using 802.11 wireless networks to determine the location of autonomous robots.
Relationship to this item: (Is Version Of)
Autonomous Robot Localization Using WiFi Fingerprinting [Presentation], ark:/67531/metadc93223
Bunkley, Terrence; Wright, Alex & Namuduri, Kamesh.Autonomous Robot Localization Using WiFi Fingerprinting,
paper,
April 14, 2011;
[Denton, Texas].
(https://digital.library.unt.edu/ark:/67531/metadc94281/:
accessed November 10, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT Honors College.