Summary of Model-based Workflow For the Automated Generation Of Pddl Descriptions, by Hamied Nabizada et al.
Model-based Workflow for the Automated Generation of PDDL Descriptions
by Hamied Nabizada, Tom Jeleniewski, Felix Gehlhoff, Alexander Fay
First submitted to arxiv on: 15 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Software Engineering (cs.SE)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel approach to generating Planning Domain Definition Language (PDDL) descriptions is presented, leveraging Model-Based Systems Engineering (MBSE) to organize system and product information. The proposed workflow automates the translation of integrated models into PDDL syntax, enabling efficient and adaptable planning processes. By connecting system and product models with planning aspects, changes in these models are quickly reflected in updated PDDL descriptions. This contribution demonstrates the feasibility of the approach within a use case from aircraft assembly. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A team of researchers has developed a new way to create Planning Domain Definition Language (PDDL) descriptions without requiring experts. They used computer models that already had important information about systems and products, and translated it into PDDL language. This makes planning easier and more flexible. The system was tested on an example from building airplanes. |
Keywords
» Artificial intelligence » Syntax » Translation
