CLIPS-based Execution for PDDL Planners. Niemueller, T., Hofmann, T., & Lakemeyer, G. In Proceedings of the 2nd Workshop on Integrated Planning, Acting, and Execution (ICAPS IntEx), Delft, Netherlands, 2018. Paper abstract bibtex Integrating planning and execution which treats either component as a black box may lead to disparate representations of the domain or information currently known. Consistency and bidirectional information flow are then hard to ensure. However, the separation of these concerns is still useful from an integration point of view. In this paper, we discuss the integration of planning systems using the Planning Domain Definition Language (PDDL) with an executive based on the CLIPS rule-based production system. In particular, we describe how we achieved one common and unified domain model used by both systems and some additions we add for the execution model. We also show how the execution model enables effective execution monitoring and selective replanning.
@inproceedings{CX-PDDL,
author = {Tim Niemueller and Till Hofmann and Gerhard Lakemeyer},
title = {CLIPS-based Execution for PDDL Planners},
booktitle = {Proceedings of the 2nd Workshop on Integrated Planning, Acting,
and Execution (ICAPS IntEx)},
url = {https://kbsg.rwth-aachen.de/~hofmann/papers/clips-exec-pddl.pdf},
address = {Delft, Netherlands},
abstract = {
Integrating planning and execution which treats either component as a black
box may lead to disparate representations of the domain or information
currently known. Consistency and bidirectional information flow are then hard
to ensure. However, the separation of these concerns is still useful from an
integration point of view.
In this paper, we discuss the integration of planning systems using the
Planning Domain Definition Language (PDDL) with an executive based on the
CLIPS rule-based production system. In particular, we describe how we achieved
one common and unified domain model used by both systems and some additions we
add for the execution model. We also show how the execution model enables
effective execution monitoring and selective replanning.
},
year = 2018
}
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