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        <datestamp>2024-03-12T11:59:17Z</datestamp>
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          <dc:title>Scalable Robotic Intra-Logistics with Answer Set Programming</dc:title>
          <dc:creator>Obermeier, Philipp</dc:creator>
          <dc:subject>Answer Set Programming</dc:subject>
          <dc:subject>Logistics</dc:subject>
          <dc:subject>Planning</dc:subject>
          <dc:description>Over time, Answer Set Programming (ASP) has gained traction as a versatile logic programming semantics with performant processing systems, used by a growing number of significant applications in academia and industry. However, this development is threatened by a lack of commonly accepted design patterns and techniques for ASP to address dynamic application on a real-world scale. To this end, we identified robotic intra-logistics as representative scenario, a major domain of interest in the context of the fourth industrial revolution. For this setting, we aim to provide a scalable and efficient ASP-based solutions by (1) stipulating a standardized test and benchmark framework; (2) leveraging existing ASP techniques through new design patterns; and (3) extending ASP with new functionalities. In this paper we will expand on the subject matter as well as detail our current progress and future plans.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Philipp Obermeier</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 64, Technical Communications of the 34th International Conference on Logic Programming (ICLP 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.ICLP.2018.24</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-98907</dc:identifier>
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          <dc:language>eng</dc:language>
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