Transformation eines Fähigkeitsmodells in einen PDDL-Planungsansatz-Reference-Cited by-同舟云学术

Transformation eines Fähigkeitsmodells in einen PDDL-Planungsansatz

Published:2023-02-01 Issue:2 Volume:71 Page:105-115
ISSN:2196-677X
Container-title:at - Automatisierungstechnik
language:en
Short-container-title:

Author:

Vieira da Silva Luis Miguel¹,Heesch René²,Köcher Aljosha¹,Fay Alexander¹

Affiliation:

1. Professur für Automatisierungstechnik , Helmut-Schmidt-Universität Hamburg , Hamburg , Deutschland

2. Professur für Informatik im Maschinenbau , Helmut-Schmidt-Universität Hamburg , Hamburg , Deutschland

Abstract

Abstract Automated planning approaches provide robust and efficient methods to automatically find plans for a given problem and a set of possible actions. However, due to the rather high effort required to create planning models, these approaches cannot be used for adaptable manufacturing plants. In this contribution, we present a method to automatically generate a planning problem in the form of PDDL from an existing capability model. This method eliminates the additional effort required to model a planning problem, making planning approaches usable for adaptable manufacturing plants.

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

https://www.degruyter.com/document/doi/10.1515/auto-2022-0112/pdf

Reference27 articles.

1. H. Kagermann, J. Helbig, A. Hellinger, and W. Wahlster, Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0: Securing the Future of German Manufacturing Industry; Final Report of the Industrie 4.0 Working Group, Forschungsunion, 2013.

2. A. Köcher,C. Hildebrandt,L. M. Vieira da Silva, and A Fay, “A formal capability and skill model for use in plug and produce scenarios,” in 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), vol. 1, 2020, pp. 1663–1670.

3. K. Evers, J. R. Seyler, V. Aravantinos, L. Lucio, and A. Mehdi, “Roadmap to skill based systems engineering,” in 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2019, pp. 1093–1100.

4. S. J. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 4th ed. Hoboken, Pearson, 2021.

5. A. Rogalla, A. Fay, and O. Niggemann, “Improved domain modeling for realistic automated planning and scheduling in discrete manufacturing,” in 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), vol. 1, 2018, pp. 464–471.