Model-based Workflow for the Automated Generation of PDDL Descriptions
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916442444660736 |
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| author | Nabizada, Hamied Jeleniewski, Tom Gehlhoff, Felix Fay, Alexander |
| author_facet | Nabizada, Hamied Jeleniewski, Tom Gehlhoff, Felix Fay, Alexander |
| contents | Manually creating Planning Domain Definition Language (PDDL) descriptions is difficult, error-prone, and requires extensive expert knowledge. However, this knowledge is already embedded in engineering models and can be reused. Therefore, this contribution presents a comprehensive workflow for the automated generation of PDDL descriptions from integrated system and product models. The proposed workflow leverages Model-Based Systems Engineering (MBSE) to organize and manage system and product information, translating it automatically into PDDL syntax for planning purposes. By connecting system and product models with planning aspects, it ensures that changes in these models are quickly reflected in updated PDDL descriptions, facilitating efficient and adaptable planning processes. The workflow is validated within a use case from aircraft assembly. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2408_08145 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Model-based Workflow for the Automated Generation of PDDL Descriptions Nabizada, Hamied Jeleniewski, Tom Gehlhoff, Felix Fay, Alexander Artificial Intelligence Software Engineering Manually creating Planning Domain Definition Language (PDDL) descriptions is difficult, error-prone, and requires extensive expert knowledge. However, this knowledge is already embedded in engineering models and can be reused. Therefore, this contribution presents a comprehensive workflow for the automated generation of PDDL descriptions from integrated system and product models. The proposed workflow leverages Model-Based Systems Engineering (MBSE) to organize and manage system and product information, translating it automatically into PDDL syntax for planning purposes. By connecting system and product models with planning aspects, it ensures that changes in these models are quickly reflected in updated PDDL descriptions, facilitating efficient and adaptable planning processes. The workflow is validated within a use case from aircraft assembly. |
| title | Model-based Workflow for the Automated Generation of PDDL Descriptions |
| topic | Artificial Intelligence Software Engineering |
| url | https://arxiv.org/abs/2408.08145 |