Integrating AI Planning Semantics into SysML System Models for Automated PDDL File Generation

Fuente: arXiv
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Auteurs principaux: Nabizada, Hamied, Jeleniewski, Tom, Beers, Lasse, Weigand, Maximilian, Gehlhoff, Felix, Fay, Alexander
Format: Preprint
Publié: 2025
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author Nabizada, Hamied
Jeleniewski, Tom
Beers, Lasse
Weigand, Maximilian
Gehlhoff, Felix
Fay, Alexander
author_facet Nabizada, Hamied
Jeleniewski, Tom
Beers, Lasse
Weigand, Maximilian
Gehlhoff, Felix
Fay, Alexander
contents This paper presents a SysML profile that enables the direct integration of planning semantics based on the Planning Domain Definition Language (PDDL) into system models. Reusable stereotypes are defined for key PDDL concepts such as types, predicates, functions and actions, while formal OCL constraints ensure syntactic consistency. The profile was derived from the Backus-Naur Form (BNF) definition of PDDL 3.1 to align with SysML modeling practices. A case study from aircraft manufacturing demonstrates the application of the profile: a robotic system with interchangeable end effectors is modeled and enriched to generate both domain and problem descriptions in PDDL format. These are used as input to a PDDL solver to derive optimized execution plans. The approach supports automated and model-based generation of planning descriptions and provides a reusable bridge between system modeling and AI planning in engineering design.
format Preprint
id arxiv_https___arxiv_org_abs_2506_06714
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Integrating AI Planning Semantics into SysML System Models for Automated PDDL File Generation
Nabizada, Hamied
Jeleniewski, Tom
Beers, Lasse
Weigand, Maximilian
Gehlhoff, Felix
Fay, Alexander
Artificial Intelligence
This paper presents a SysML profile that enables the direct integration of planning semantics based on the Planning Domain Definition Language (PDDL) into system models. Reusable stereotypes are defined for key PDDL concepts such as types, predicates, functions and actions, while formal OCL constraints ensure syntactic consistency. The profile was derived from the Backus-Naur Form (BNF) definition of PDDL 3.1 to align with SysML modeling practices. A case study from aircraft manufacturing demonstrates the application of the profile: a robotic system with interchangeable end effectors is modeled and enriched to generate both domain and problem descriptions in PDDL format. These are used as input to a PDDL solver to derive optimized execution plans. The approach supports automated and model-based generation of planning descriptions and provides a reusable bridge between system modeling and AI planning in engineering design.
title Integrating AI Planning Semantics into SysML System Models for Automated PDDL File Generation
topic Artificial Intelligence
url https://arxiv.org/abs/2506.06714