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Authors: Angelo Ferrando 1 and Rafael C. Cardoso 2

Affiliations: 1 University of Genova, Genova 16145, Italy ; 2 The University of Manchester, Manchester M13 9PL, U.K.

Keyword(s): Automated Planning, Runtime Verification, Failure Detection, STRIPS.

Abstract: Automated planners use a model of the system and apply state transition functions to find a sequence of actions (a plan) that successfully solves a (set of) goal(s). The model used during planning can be imprecise, either due to a mistake at design time or because the environment is dynamic and changed before or during the plan execution. In this paper we use runtime monitors to verify the assumptions of plans at runtime in order to effectively detect plan failures. This paper offers three main contributions: (a) two methods (instantiated and parameterised) to automatically synthesise runtime monitors by translating planning models (STRIPS-like) to temporal logics (Past LTL or Past FO-LTL); (b) an approach to use the resulting runtime monitors to detect failures in the plan; and (c) the RVPLAN tool, which implements (a) and (b). We illustrate the use of our work with a remote inspection running example as well as quantitative results comparing the performance of the proposed monitor generation methods in terms of property synthesis, monitor synthesis, and runtime verification. (More)

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Paper citation in several formats:
Ferrando, A. and Cardoso, R. (2022). RVPLAN: Runtime Verification of Assumptions in Automated Planning. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 67-77. DOI: 10.5220/0010776500003116

@conference{icaart22,
author={Angelo Ferrando. and Rafael C. Cardoso.},
title={RVPLAN: Runtime Verification of Assumptions in Automated Planning},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2022},
pages={67-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010776500003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - RVPLAN: Runtime Verification of Assumptions in Automated Planning
SN - 978-989-758-547-0
IS - 2184-433X
AU - Ferrando, A.
AU - Cardoso, R.
PY - 2022
SP - 67
EP - 77
DO - 10.5220/0010776500003116
PB - SciTePress

- Science and Technology Publications, Lda.
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