Heuristic Planning for Hybrid Systems

Authors

  • Wiktor Piotrowski King's College London
  • Maria Fox King's College London
  • Derek Long King's College London
  • Daniele Magazzeni King's College London
  • Fabio Mercorio University of Milan-Bicocca

DOI:

https://doi.org/10.1609/aaai.v30i1.9953

Keywords:

Automated Planning, PDDL , Planning as Model Checking, Planning in Mixed Discrete/Continuous Domains

Abstract

Planning in hybrid systems has been gaining research interest in the Artificial Intelligence community in recent years. Hybrid systems allow for a more accurate representation of real world problems, though solving them is very challenging due to complex system dynamics and a large model feature set. We developed DiNo, a new planner designed to tackle problems set in hybrid domains.DiNo is based on the discretise and validate approach and uses the novel Staged Relaxed Planning Graph+ (SRPG+) heuristic.

AAAI 2016 Proceedings Cover

Downloads

Published

2016-03-05

How to Cite

Piotrowski, W., Fox, M., Long, D., Magazzeni, D., & Mercorio, F. (2016). Heuristic Planning for Hybrid Systems. Proceedings of the AAAI Conference on Artificial Intelligence, 30(1). https://doi.org/10.1609/aaai.v30i1.9953

Issue

Vol. 30 No. 1 (2016): Thirtieth AAAI Conference on Artificial Intelligence

Section

Student Abstracts and Posters