Publication
Adaptive Assembly Plan Generation in Industry 4.0
André Antakli; Daniel Spieldenner
In: 2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE International Conference on Industrial Cyber-Physical Systems (ICPS-2025), May 12-15, Emden, Germany, Pages 1-5, IEEE, 2025.
Abstract
The need for adaptive automated assembly planning is gaining importance as product variety increases and production times shrink, especially in sectors like automotive manufacturing. Answer Set Programming (ASP) is a proven method for solving combinatorial problems such as assembly planning. Inductive logic programming (ILP) on the other hand enables interpretable logic-based machine learning with minimal training data. And the Asset Administration Shell (AAS) can provide essential planning information for both the product and its production environment. Combining ASP-based planning with ILP-learned expert knowledge promises adaptive automation, which, when integrated with AAS, can seamlessly fit into existing production environments. This work-in-progress paper presents our work on ASP-based assembly planning and outlines the integration of learned worker-based expert knowledge and AAS.