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        <datestamp>2023-07-10</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>LaValle, Steven M.</dc:contributor>
          <dc:creator>Taylor, Kamilah J.</dc:creator>
          <dc:date>2011-01-14T22:45:54Z</dc:date>
          <dc:date>2011-01-14T22:45:54Z</dc:date>
          <dc:date>2010-12</dc:date>
          <dc:date>2011-01-14T22:45:54Z</dc:date>
          <dc:description>This thesis introduces a sensor-based planning algorithm that uses less
sensing information than any others within the family of bug
algorithms.  The robot is unable to access precise information
regarding position coordinates, angular coordinates, time, or
odometry, but is nevertheless able to navigate itself to a goal among
unknown piecewise-analytic obstacles in the plane.  The only sensor
providing real values is an intensity sensor, which measures the
signal strength emanating from the goal.  The signal intensity
function may or may not be symmetric; the main requirement is that the
level sets are concentric images of simple closed curves, i.e. topological circles.  Convergence analysis
and distance bounds are established for the presented approach. The
algorithm is then experimentally verified using a differential drive
robot and an infrared beacon.</dc:description>
          <dc:description>Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2010-12-03T19:28:27Z
Item was in collections:
University of Illinois Theses &amp; Dissertations (ID: 1)
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          <dc:identifier>http://hdl.handle.net/2142/18313</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2010 Kamilah J. Taylor</dc:rights>
          <dc:subject>robotics</dc:subject>
          <dc:subject>planning algorithms</dc:subject>
          <dc:subject>bug algorithms</dc:subject>
          <dc:subject>infrared beacon</dc:subject>
          <dc:title>Navigation in an unfamiliar environment using signal intensity</dc:title>
          <dc:date>2010-12</dc:date>
          <degree>
            <department>Computer Science</department>
            <departmentCode>1434</departmentCode>
            <discipline>Computer Science</discipline>
            <disciplineCode>0112</disciplineCode>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Thesis</level>
            <name>M.S.</name>
            <program>PHD:Computer Science -UIUC</program>
            <programCode>10KS0112PHD</programCode>
          </degree>
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