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            <mods:title>Object contour reconstruction using bio-inspired sensors</mods:title>
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            <mods:displayForm>Will, Christoph</mods:displayForm>
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              <mods:title>Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Vienna, Austria, 1 - 3 September, 2014</mods:title>
              <mods:partNumber>Vol. 1</mods:partNumber>
              <mods:subTitle>Volume 1</mods:subTitle>
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              <mods:title>Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, Vienna, Austria, 1 - 3 September, 2014; [including the Special Session on Intelligent Vehicle Controls &amp; Intelligent Transportation Systems (IVC&amp;ITS), and the Special Session on Adaptive Stochastic Algorithms and their Applications at Human-Machine Interfaces (ASAAHMI)]</mods:title>
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          <mods:abstract altRepGroup="0a-9f35-2b8ca608e219" type="summary" xml:lang="en" xlink:type="simple">This work is inspired and motivated by the sophisticated mammals sense organ of touch: vibrissa. Mammals, especially rodents, use their vibrissae, located in the snout region - mystacial vibrissae - to determine object contacts (passive mode) or to scan object surfaces (active mode). Here, we focus on the passive mode. In order to get hints for an artificial sensing prototype, we set up a mechanical model in form of a long slim beam which is one-sided clamped. We investigate in a purely analytical way a quasi-static sweep of the beam along a given profile, where we assume that the profile boundary is strictly convex. This sweeping procedure shows up in two phases, which have to be distinguished in profile contact with the tip and tangentially contact (between tip and base). The analysis eventuates in a phase decision criterion and in a formula for the contact point. These are the main results. Moreover, based on the observables of the problem, i.e. the clamping moment and the clamping forces, which are the only information the animal relies on, a reconstruction of the profile is possible - even with added uncertainty mimicking noise in experimental data.</mods:abstract>
          <mods:note type="statement of responsibility" xlink:type="simple">Christoph Will; Joachim Steigenberger; Carsten Behn</mods:note>
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