25 citations · 84 across the 35 of their papers we have counts for
17 papers · 1 filter
Towards an Intention Abstraction Layer for Autonomous Industrial Systems
Artan Markaj, Raphael Höfer, Felix Gehlhoff
Modern industrial environments increasingly run many autonomous subsystems at once - schedulers, energy managers, vehicle fleets - each pursuing its own goals while sharing the sam…
From Capability Models to Automated Planning: An AAS-Native Approach for Automatic PDDL Generation
Hamied Nabizada, Thomas Wirt, Luis Miguel Vieira da Silva +2
Engineers designing production systems need to verify that a given layout supports all required production sequences. Automated planning techniques can answer such questions, but f…
An LLM-Based Assistance System for Intuitive and Flexible Capability-Based Planning
Luis Miguel Vieira da Silva, Nicolas König, Felix Gehlhoff
In modern industry, dynamic environments and the complexity of modular and reconfigurable resources require automated planning of process sequences. Capability-based planning appro…
Foundation-Model-Based Agents in Industrial Automation: Purposes, Capabilities, and Open Challenges
Vincent Henkel, Felix Gehlhoff, David Kube +13
Foundation models, particularly large language models, are increasingly integrated into agent architectures for industrial tasks such as decision support, process monitoring, and e…
Benchmark for Planning and Control with Large Language Model Agents: Blocksworld with Model Context Protocol
Niklas Jobs, Luis Miguel Vieira da Silva, Jayanth Somashekaraiah +3
Industrial automation increasingly requires flexible control strategies that can adapt to changing tasks and environments. Agents based on Large Language Models (LLMs) offer potent…
Bridging Engineering and AI Planning through Model-Based Knowledge Transformation for the Validation of Automated Production System Variants
Hamied Nabizada, Lasse Beers, Alain Chahine +3
Engineering models created in Model-Based Systems Engineering (MBSE) environments contain detailed information about system structure and behavior. However, they typically lack sym…
Consistency Verification in Ontology-Based Process Models with Parameter Interdependencies
Tom Jeleniewski, Hamied Nabizada, Jonathan Reif +2
The formalization of process knowledge using ontologies enables consistent modeling of parameter interdependencies in manufacturing. These interdependencies are typically represent…
Automated Validation of Textual Constraints Against AutomationML via LLMs and SHACL
Tom Westermann, Aljosha Köcher, Felix Gehlhoff
AutomationML (AML) enables standardized data exchange in engineering, yet existing recommendations for proper AML modeling are typically formulated as informal and textual constrai…
Integrating AI Planning Semantics into SysML System Models for Automated PDDL File Generation
Hamied Nabizada, Tom Jeleniewski, Lasse Beers +3
This paper presents a SysML profile that enables the direct integration of planning semantics based on the Planning Domain Definition Language (PDDL) into system models. Reusable s…
Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphs
Milapji Singh Gill, Tom Jeleniewski, Felix Gehlhoff +1
Time-continuous dynamic models are essential for various Cyber-Physical System (CPS) applications. To ensure effective usability in different lifecycle phases, such behavioral info…
Leveraging LLM Agents and Digital Twins for Fault Handling in Process Plants
Milapji Singh Gill, Javal Vyas, Artan Markaj +2
Advances in Automation and Artificial Intelligence continue to enhance the autonomy of process plants in handling various operational scenarios. However, certain tasks, such as fau…
Capability-Driven Skill Generation with LLMs: A RAG-Based Approach for Reusing Existing Libraries and Interfaces
Luis Miguel Vieira da Silva, Aljosha Köcher, Nicolas König +2
Modern automation systems increasingly rely on modular architectures, with capabilities and skills as one solution approach. Capabilities define the functions of resources in a mac…
Automatic Mapping of AutomationML Files to Ontologies for Graph Queries and Validation
Tom Westermann, Malte Ramonat, Johannes Hujer +2
AutomationML has seen widespread adoption as an open data exchange format in the automation domain. It is an open and vendor neutral standard based on the extensible markup languag…
Model-based Workflow for the Automated Generation of PDDL Descriptions
Hamied Nabizada, Tom Jeleniewski, Felix Gehlhoff +1
Manually creating Planning Domain Definition Language (PDDL) descriptions is difficult, error-prone, and requires extensive expert knowledge. However, this knowledge is already emb…
Integrating Ontology Design with the CRISP-DM in the context of Cyber-Physical Systems Maintenance
Milapji Singh Gill, Tom Westermann, Gernot Steindl +2
In the following contribution, a method is introduced that integrates domain expert-centric ontology design with the Cross-Industry Standard Process for Data Mining (CRISP-DM). Thi…
Toward a Method to Generate Capability Ontologies from Natural Language Descriptions
Luis Miguel Vieira da Silva, Aljosha Köcher, Felix Gehlhoff +1
To achieve a flexible and adaptable system, capability ontologies are increasingly leveraged to describe functions in a machine-interpretable way. However, modeling such complex on…
On the Use of Large Language Models to Generate Capability Ontologies
Luis Miguel Vieira da Silva, Aljosha Köcher, Felix Gehlhoff +1
Capability ontologies are increasingly used to model functionalities of systems or machines. The creation of such ontological models with all properties and constraints of capabili…