Content: Publications

ASP-Based Time-Bounded Planning for Logistics Robots

In Proc. the Twenty-eighth International Conference on Automated Planning and Scheduling (ICAPS'18), pp. 509-517

Authors:Björn Schäpers, Tim Niemueller, Gerhard Lakemeyer, Martin Gebser, Torsten Schaub
Type:Article in Conference Proceedings
Publication Date:June 2018
Conference:the Twenty-eighth International Conference on Automated Planning and Scheduling (ICAPS'18)

Abstract: Manufacturing industries are undergoing a major paradigm shift towards more autonomy. Automated planning and scheduling then becomes a necessity. The Planning and Execution Competition for Logistics Robots in Simulation held at ICAPS is based on this scenario and provides an interesting testbed. However, the posed problem is challenging as also demonstrated by the somewhat weak results in 2017. The domain requires temporal reasoning and dealing with uncertainty. We propose a novel planning system based on Answer Set Programming and the Clingo solver to tackle these problems and incentivize robot cooperation. Our results show a significant performance improvement, both, in terms of lowering computational requirements and better game metrics.

BibTeX
@InProceedings{gelaniscsc18a-2018,
  title =	{{ASP-Based Time-Bounded Planning for Logistics Robots}},
  author =	{Björn Schäpers and Tim Niemueller and Gerhard Lakemeyer and Martin Gebser and Torsten Schaub},
  booktitle =	{Proc. of the Twenty-eighth International Conference on Automated Planning and Scheduling (ICAPS'18)},
  year =	{2018},
  pages =	{509-517},
}