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        <identifier>oai:drops-oai.dagstuhl.de:14789</identifier>
        <datestamp>2024-03-06T10:54:39Z</datestamp>
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          <dc:title>Efficient Anytime Computation and Execution of Decoupled Robustness Envelopes for Temporal Plans</dc:title>
          <dc:creator>Cashmore, Michael</dc:creator>
          <dc:creator>Cimatti, Alessandro</dc:creator>
          <dc:creator>Magazzeni, Daniele</dc:creator>
          <dc:creator>Micheli, Andrea</dc:creator>
          <dc:creator>Zehtabi, Parisa</dc:creator>
          <dc:subject>Temporal Planning</dc:subject>
          <dc:subject>Robustness Envelopes</dc:subject>
          <dc:description>One of the major limitations for the employment of model-based planning and scheduling in practical applications is the need of costly re-planning when an incongruence between the observed reality and the formal model is encountered during execution. Robustness Envelopes characterize the set of possible contingencies that a plan is able to address without re-planning, but their exact computation is expensive; furthermore, general robustness envelopes are not amenable for efficient execution.&#13;
In this paper, we present a novel, anytime algorithm to approximate Robustness Envelopes, making them scalable and executable. This is proven by an experimental analysis showing the efficiency of the algorithm, and by a concrete case study where the execution of robustness envelopes significantly reduces the number of re-plannings.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Michael Cashmore and Alessandro Cimatti and Daniele Magazzeni and Andrea Micheli and Parisa Zehtabi</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 206, 28th International Symposium on Temporal Representation and Reasoning (TIME 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.TIME.2021.13</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-147895</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TIME.2021.13</dc:identifier>
          <dc:language>eng</dc:language>
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