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

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 constrai...

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Vydáno v:Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) s. 1 - 8
Hlavní autoři: Nabizada, Hamied, Jeleniewski, Tom, Beers, Lasse, Weigand, Maximilian, Gehlhoff, Felix, Fay, Alexander
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 09.09.2025
Témata:
AI Planning
Artificial intelligence
Atmospheric modeling
Manufacturing automation
Model-Based Systems Engineering (MBSE)
Modeling
Planning
Planning Domain Definition Language (PDDL)
Robots
Semantics
Syntactics
SysML Profile
Systems modeling
Systems Modeling Language
Systems Modeling Language (SysML)
ISSN:1946-0759
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Shrnutí: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.
ISSN:1946-0759
DOI:10.1109/ETFA65518.2025.11205663