Development and implementation of a software layer for generic skill descriptions of versatile autonomous vehicles

Scholz M, Kraus P, Franke J (2020)

Publication Type: Conference contribution

Publication year: 2020

Journal

Procedia CIRP Curran

Publisher: Elsevier B.V.

Book Volume: 88

Pages Range: 203-208

Conference Proceedings Title: Procedia CIRP

Event location: Naples IT

DOI: 10.1016/j.procir.2020.05.036

Abstract

This paper describes a control architecture for versatile autonomous vehicles (VAV). As a part of a hybrid architecture, a behaviour engine is developed which offers two main skills, forecast and acting, which are used for order coordination and execution. Furthermore, we introduce time dependent Key Performance Indicators (KPIs) as basic information quantities. These KPIs are transmitted as scheduled values for order coordination and as real values after the execution to offer feedback on the performance of the VAV. An experimental setup shows that the architecture is well suited for a VAV.

Authors with CRIS profile

Michael Scholz Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS) Jörg Franke Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS)

How to cite

APA:

Scholz, M., Kraus, P., & Franke, J. (2020). Development and implementation of a software layer for generic skill descriptions of versatile autonomous vehicles. In Roberto Teti, Doriana M. D'Addona (Eds.), Procedia CIRP (pp. 203-208). Naples, IT: Elsevier B.V..

MLA:

Scholz, Michael, Patrick Kraus, and Jörg Franke. "Development and implementation of a software layer for generic skill descriptions of versatile autonomous vehicles." Proceedings of the 13th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2019, Naples Ed. Roberto Teti, Doriana M. D'Addona, Elsevier B.V., 2020. 203-208.

BibTeX: Download