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          <dc:description>Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-12-01</dc:description>
          <dc:description>The student, Ye Liu, accepted the attached license on 2025-12-04 at 12:06.</dc:description>
          <dc:description>The student, Ye Liu, submitted this Thesis for approval on 2025-12-04 at 12:13.</dc:description>
          <dc:description>This Thesis was approved for publication on 2025-12-11 at 10:15.</dc:description>
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          <dc:title>Localization of robot and landmark with indistinguishability</dc:title>
          <dc:creator>Liu, Ye</dc:creator>
          <dc:date>2025-12-11</dc:date>
          <dc:contributor>Mitra, Sayan</dc:contributor>
          <dc:subject>SLAM</dc:subject>
          <dc:subject>Indistinguishability</dc:subject>
          <dc:language>eng</dc:language>
          <dc:description>We research localization problems with robots and landmarks related to the aspect of indistinguishability in multi-dimensional spaces. With the initial position ranges for the robot and landmarks using specific measurement models, we develop a general algorithm for minimizing the position ranges under various conditions, which are related to the number of dimensions, the number of landmarks, and the value of the measurement model radius. We also study the characteristics of indistinguishable systems to derive propositions that are useful to help us distinguish the optimal ranges for robots and landmarks.</dc:description>
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          <dc:rights>Copyright 2025 Ye Liu</dc:rights>
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            <grantor>University of Illinois Urbana-Champaign</grantor>
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