25 citations · 84 across the 35 of their papers we have counts for
35 papers
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…
World-Model-Aware Responsibility Allocation in Heterogeneous Logistics Systems
Artan Markaj, Niklas Jobs, Felix Gehlhoff
Logistics systems increasingly mix \emph{autonomous logistic equipment} (ALE) with non-autonomous machinery under a central control system (CS), where the best decision-maker depen…
An AutomationML Domain Library for the Formalized Process Description
Hamied Nabizada, Rainer Drath, Felix Gehlhoff +1
The Formalized Process Description (FPD) according to VDI/VDE 3682 provides a standardized graphical notation for describing processes across engineering domains but lacks a standa…
A Tutorial on Autonomous Fault-Tolerant Control Using Knowledge-Grounded LLM Agents
Javal Vyas, Milapji Singh Gill, Artan Markaj +2
Fault recovery in process plants still relies heavily on plant operators, especially when faults fall outside predefined supervisory logic. Operators interpret alarms, procedures,…
From Detection to Action: Using LLM Agents for Fault-Tolerant Control
Javal Vyas, Milapji Singh Gill, Artan Markaj +2
We propose an agentic Large Language Model (LLM) framework for active Fault-Tolerant Control (FTC) that transforms fault detection outputs into constraint-aware recovery actions gr…
Market Strategy Evaluation for Prosumers in Local Electricity Markets
Lukas Peter Wagner, Raoul Bisson, Felix Gehlhoff
Prosumers equipped with distributed generation and flexible loads form autonomous cyber-physical energy systems that control local resources and participate in local energy markets…
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…
Coupling Scenario-Based Grid Simulations with State Estimation: Measurement Requirements for Low-Voltage Networks under the German Energy Transition Pathway
Nane Zimmermann, Lukas P. Wagner, Luca von Rönn +3
Increasing penetration of electric vehicles, heat pumps, and rooftop photovoltaics is creating thermal and voltage stress in low-voltage distribution grids. This work links the Ger…
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…
An Expert Survey on Models and Digital Twins
Jonathan Reif, Daniel Dittler, Milapji Singh Gill +5
Digital Twins (DTs) are becoming increasingly vital for future industrial applications, enhancing monitoring, control, and optimization of physical assets. This enhancement is made…
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…
Beyond Formal Semantics for Capabilities and Skills: Model Context Protocol in Manufacturing
Luis Miguel Vieira da Silva, Aljosha Köcher, Felix Gehlhoff
Explicit modeling of capabilities and skills -- whether based on ontologies, Asset Administration Shells, or other technologies -- requires considerable manual effort and often res…
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…
Exploring LLMs for Verifying Technical System Specifications Against Requirements
Lasse M. Reinpold, Marvin Schieseck, Lukas P. Wagner +2
Requirements engineering is a knowledge intensive process and crucial for the success of engineering projects. The field of knowledge-based requirements engineering (KBRE) aims to…
Semantic model for the description of energy data in the Module Type Package
Leif-Thore Reiche, Felix Gehlhoff, Alexander Fay
Modular production systems that employ the Module Type Package (MTP) to describe module interfaces can, at present, only communicate energy data through proprietary solutions. Due…
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…