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Scalable Robotic Intra-Logistics with Answer Set Programming

Author Philipp Obermeier

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Subject Classification

ACM Subject Classification
  • Computing methodologies → Logic programming and answer set programming
Keywords
  • Answer Set Programming
  • Logistics
  • Planning

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Abstract

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.

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Philipp Obermeier. Scalable Robotic Intra-Logistics with Answer Set Programming. In Technical Communications of the 34th International Conference on Logic Programming (ICLP 2018). Open Access Series in Informatics (OASIcs), Volume 64, pp. 24:1-24:5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/OASIcs.ICLP.2018.24

Author Details

Philipp Obermeier
  • Institute of Computer Science, University of Potsdam, Germany

Funding

This research is partially supported by DFG (550/9).

References

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