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    <title>surveillance on Specification Patterns for Robotic Missions</title>
    <link>https://roboticpatterns.com/tags/surveillance/</link>
    <description>Recent content in surveillance on Specification Patterns for Robotic Missions</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-us</language>
    <copyright>Claudio Menghi, Christos Tsigkanos, Thorsten Berger, Patrizio Pelliccione, Carlo Ghezzi</copyright>
    <lastBuildDate>Thu, 08 Feb 2018 17:51:49 +0100</lastBuildDate>
    
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    <item>
      <title>Fair Patrolling</title>
      <link>https://roboticpatterns.com/pattern/fairpatrolling/</link>
      <pubDate>Thu, 08 Feb 2018 17:51:49 +0100</pubDate>
      
      <guid>https://roboticpatterns.com/pattern/fairpatrolling/</guid>
      <description>Intent  This pattern requires a robot to keep visiting a set of locations in a fair way, i.e., the robots patrols the locations by keeping the number of times every area is patrolled equal.
 LTL Template $\overset{n}{\underset{i=1}{\bigwedge}} \mathcal{G}( \mathcal{F} (l_i))$ $\overset{n}{\underset{i=1}{\bigwedge}} \mathcal{G} (l_{i} \rightarrow \mathcal{X} ((\neg l_i)\ \mathcal{W}\ l_{(i+1)\%n}))$ , where ($l_1, l_2, \ldots$ are location propositions)  where &amp;ldquo;l1&amp;rdquo; and &amp;ldquo;l2&amp;rdquo; are expressions that indicate that a robot r is in location 1 and 2.</description>
    </item>
    
    <item>
      <title>Ordered Patrolling</title>
      <link>https://roboticpatterns.com/pattern/orderedpatrolling/</link>
      <pubDate>Thu, 08 Feb 2018 17:51:49 +0100</pubDate>
      
      <guid>https://roboticpatterns.com/pattern/orderedpatrolling/</guid>
      <description>Intent  This pattern requires a robot to keep visiting a set of locations, in some specified order, similarly to sequenced patrolling. However, given an order, e.g., 1 and 2 between two locations, it is not admitted to the robot to visit 2 before 1.
 LTL Template $\mathcal{G} (\mathcal{F} (l_1 \wedge \mathcal{F}(l_2 \wedge \ldots \mathcal{F}(l_n)))) $ $\overset{n-1}{\underset{i=1}{\bigwedge}} (\neg l_{i+1}) \mathcal{U} l_i$\\ $\overset{n}{\underset{i=1}{\bigwedge}} \mathcal{G} (l_{(i+1)\%n} \rightarrow \mathcal{X} ( (\neg l_{(i+1)\%n}) \mathcal{U} l_{i}))$ , where ($l_1, l_2, \ldots$ are location propositions)  Note that the pattern is general and consider the case in which a robot can be in two locations at the same time.</description>
    </item>
    
    <item>
      <title>Sequenced Patrolling</title>
      <link>https://roboticpatterns.com/pattern/sequencedpatrolling/</link>
      <pubDate>Thu, 08 Feb 2018 17:51:49 +0100</pubDate>
      
      <guid>https://roboticpatterns.com/pattern/sequencedpatrolling/</guid>
      <description>Intent  Given a set of locations the robot should REPEATEDLY visit all the locations in sequence.
 LTL Template $\mathcal{G} (\mathcal{F} (l_1 \wedge \mathcal{F}(l_2 \wedge \ldots \mathcal{F}(l_n))))$ , where ($l_1, l_2, \ldots$ are location propositions)  Note that the pattern is general and consider the case in which a robot can be in two locations at the same time. For example, a robot can be in an area of a building indicated as l1 (e.</description>
    </item>
    
    <item>
      <title>Strict Ordered Patrolling</title>
      <link>https://roboticpatterns.com/pattern/strictorderedpatrolling/</link>
      <pubDate>Thu, 08 Feb 2018 17:51:49 +0100</pubDate>
      
      <guid>https://roboticpatterns.com/pattern/strictorderedpatrolling/</guid>
      <description>Intent  A robot must patrol a set of locations following a strict order.
 LTL Template $\mathcal{G} (\mathcal{F} (l_1 \wedge \mathcal{F}(l_2 \wedge \ldots \mathcal{F}(l_n)))) $ $\overset{n-1}{\underset{i=1}{\bigwedge}} (\neg l_{i+1}) \mathcal{U} l_i$ $\overset{n}{\underset{i=1}{\bigwedge}} \mathcal{G} (l_{(i+1)\%n} \rightarrow \mathcal{X} ( (\neg l_{(i+1)\%n}) \mathcal{U} l_{i}))$ $\overset{n-1}{\underset{i=1}{\bigwedge}} \mathcal{G} ((l_{i}) \rightarrow \mathcal{X} (\neg l_{i} \mathcal{U} (l_{(i+1)\%n})))$, where $l_1, l_2, \ldots$ are location propositions.  Note that the pattern is general and consider the case in which a robot can be in two locations at the same time.</description>
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