Keynote Speakers
10th September:
Industry 4.0 and the data revolution
Francisco Almada Lobo
CEO and Founder of Critical Manufacturing, Porto, Portugal
Abstract:
The progression toward Industry 4.0 continues to be shaped by a complex interplay between technological advancement and implementation challenges on the shop floor. While AI, IoT, and robotics have matured, their adoption remains fragmented, often constrained by legacy systems, integration hurdles, and organizational resistance. Many digital transformation efforts become stalled in limited-scale pilots, unable to transition to full deployment. A structured digitalization approach, supported by frameworks such as the Smart Industry Readiness Index (SIRI) and enabled by a modern Manufacturing Execution System (MES), is essential to overcoming these obstacles. Recent advances in artificial intelligence, including generative AI and autonomous AI agents, have introduced powerful tools for real-time process optimization, adaptive planning, and intelligent system orchestration. These technologies are poised to reshape manufacturing software by enabling self-improving systems that respond dynamically to operational data. Strategic alignment, strong leadership, and a focus on scalable, value-driven use cases are key enablers in unlocking the full potential of AI-driven Industry 4.0 transformation.
Speaker Bio:
Francisco Almada Lobo is recognized as a top strategic thought leader and evangelist on digital transformation, specifically Industry 4.0, manufacturing operations and the factories of the future. He holds an MBA and an Electrical Engineering Degree from the University of Porto and started his career in a CIM R&D Institute and joined Siemens Semiconductor in 1997. Throughout his tenures at Siemens, Infineon and Qimonda, Almada Lobo specialized in optimizing highly complex, discrete manufacturing operations. In 2004, he led the first migration of an MES system in a running high-volume facility. Almada Lobo holds various positions within the smart manufacturing and venture capital industries, including being former member of the 200M Fund’s Investment Committee, Advisory Board Member at Critical Ventures, Executive Committee Member of SEMI Smart Manufacturing Technology, Member of the Forbes Technology Council and Advisor to many Industry 4.0 startups, beyond being a co-founder and business angel at COREAngels Porto.
11th September:
Why can’t large data replace the time understanding of embedded products?
Liliana Cucu-Grosjean
Group leader at INRIA - Paris / Co-Founder of StatInf, Paris, France
Abstract:
While embedded industries collect an important amount of data from the functioning of their products, increasing the global added value is not obvious. Beyond the lack of an appropriate business model, embedded industry actors do face three vital challenges. The first challenge concerns the pressure from an accelerated use of such data in more general use products, without any requirements regarding their frugality, nor their justifiability. As a result, proposed R&D methodologies do not include these requirements among working hypotheses and become not applicable to the design of embedded products. The second challenge comes from associated programming languages easing the use of large data but moving away from the low-level understanding of hardware and software interactions. Last, but not least, the fact that the legal owner of that data is not well identified constitutes the third challenge in taking advantage of using data within embedded products. In this talk, we discuss how time constraints and the understanding they bring within the development cycle of embedded products may become a valuable ally in facing these three challenges.
Speaker Bio:
Liliana Cucu-Grosjean is a Research Director at the French National Institute in Computer Science and Automation (INRIA) in Paris, France, where she leads the Kopernic research team. Her research interests include real-time, embedded and cyber-physical systems with a focus on the use of probabilistic and statistical methods for analyzing the schedulability of programs and estimating worst-case execution of those programs. Co-author of several seminal papers on probabilistic and statistical methods for real-time systems, Liliana has published more than 60 papers in top TCRTS conferences and journals. She has served the community by acting as (General, TPC/track/topic and local) chair for important venues of the TCRTS community (RTSS, RTCSA and RTNS) as well as strongly-related venues (DATE for architecture-oriented topics and MAPSP and ROADEF for scheduling-oriented events). Co-founder of workshops like WMC (RTSS joint workshop), JWRTC (RTNS joint workshop) and Dagstuhl series on mixed criticality, she has helped consolidating the diversity actions among under-represented categories of researchers.
12th September:
Industrial Heritage For Training Advanced Robotics Neural Networks
Giovanni Di Stefano
Head of Robotics Engineering at COMAU, Turin, Italy
Abstract:
In the rapidly evolving AI landscape, large-scale models like ChatGPT, Gemini, or SAM dominate consumer applications. However, for industrial companies, the real opportunity lies not in developing their own general-purpose AI but in specializing existing models to fit their highly technical and niche-specific needs.
Many industrial enterprises possess vast amounts of domain-specific, high-quality data ranging from mechanical component design to system identification and technical drawing definitions. These datasets hold the key to unlocking AI-driven automation in complex engineering tasks that general-purpose AI cannot handle.
By embracing AI specialization, automation companies can gain a competitive edge, improving productivity and decision-making without the prohibitive costs of developing foundational AI models. The future of AI in robotics is not about competing with large-scale AI. It’s about adapting and refining it for precision, reliability, and real-world impact.
Speaker Bio:
Giovanni Di Stefano leads technology activities to support the expansion of Comau’s portfolio in both traditional and emerging industrial sectors as the head of Advanced Robotics. He holds a degree in Electronic Engineering from the University of Rome and further specialized through a Master in Industrial Automation at Comau in collaboration with Politecnico di Torino, followed by an Executive MBA from ESCP in Paris.
In the early years of his career, he combined field operations with R&D in the automotive industry, later becoming Head of the Process Technologies Department, where he led an international team focused on developing new industrial processes. As the leader of the Innovation and Advanced Robotics team, he has been instrumental in advancing industrial technologies such as mobile robotics for indoor and outdoor applications, vision systems for quality inspection and robot guidance, IoT digital solutions, and complex vision systems.
Throughout his tenure at Comau, Giovanni has significantly contributed to robotics development, securing patents, managing National Operational Plan funds, establishing a Software House, and creating a Public-Private Laboratory with Politecnico di Bari dedicated to digital technologies, vision systems, and artificial intelligence. His expertise extends to managing Intellectual Property and European projects, with a strong emphasis on sustainable technologies, including humanoids, cognitive robotics, and reconfigurable manufacturing systems. Notably, his patented mobile robotics solution for photovoltaic plant installation earned the Innovation Award at the WCPEC.
Recognized for his impact in the field, Giovanni has been selected as one of Fortune’s Forty under Forty.
Conference Activities
Welcome Reception
Time: September 10, 18h00 (hour TBC)
Caves Ferreira port wine cellars (https://sogrape.com/en/tourism/caves-ferreira)
Visit to these historical port wine cellars, followed by a Port of Honor welcoming ETFA 2025 participants. The cellars are located in the heart of Ribeira de Gaia on the south bank of the Douro River, facing the city of Porto. This are is known for its picturesque, colorful buildings, cobbled streets, and lively atmosphere, particularly along the waterfront, full of restaurants and bars.
Conference Banquet
Time: September 11, 19h30 (hour TBC)
Porto Cruise Terminal of the Port of Leixões (https://leixoes.apdl.pt/en/the-port/)
A modern cruise terminal inaugurated in 2011 and in full operation since 2015. It is a building with the shape of a boat hull, built on purpose for ocean-going passenger ships. It is located in the south pier of the Port of Leixões and it is also home to the Production, Science and Scientific Outreach Departments of CIIMAR - Interdisciplinary Center for Marine and Environmental Research.
Technical Tracks
Track 1 - Information Technology in Automation
Regular papers
Automated Security Configuration Verification for OT Networks: An Architecture and AutomationML Approach
Julian Göppert, Axel Sikora
IO-AutoMapper: Leveraging LLMs to Bind I/O Signal List Entries to Control Function Blocks in Industrial Automation
Heiko Koziolek, Virendra Ashiwal, Thilo Braun, Sofia Linsbauer
Integrating AI Planning Semantics into SysML System Models for Automated PDDL File Generation
Hamied Nabizada, Tom Jeleniewski, Lasse Beers, Maximilian Weigand, Felix Gehlhoff, Alexander Fay
A Framework for Energy Efficiency Analysis and Optimal Sizing of Industrial Motors
Giacomo Garegnani, Shuai Guo, Thanikesavan Sivanthi, Philipp Sommer, Felix Sutton
From Grafcet Diagrams to IEC 61499 Control Applications: A Unified Function Block Approach
Isabel Roselló Gonzalez, JULIO ARIEL ROMERO, Oscar Miguel-Escrig
Event-Driven Method for Automated Compliance Testing of Submodels
Israt Nowshin, Ghada Mohamed, Dirk Schöttke, Stephan Schäfer, Aaron Zielstorff
Offline Reproduction of Function Block Networks in IEC 61499 Resources
Jose Cabral, Alois Zoitl
Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphs
Milapji Singh Gill, Tom Jeleniewski, Felix Gehlhoff, Alexander Fay
Component-based Control Software design using IEC 61499 Adapter Interfaces
Shubham Sharma, Alexander Stummer, Lisa Sonnleithner, Alois Zoitl
A Formal Model Transformation from Data Flow Models to IEC 61499 Models
Malte Grave, Alois Zoitl, Verena Klös, Markus Meingast, Lisa Sonnleithner, Jörg Walter
Modeling Interaction Patterns for Distributed Systems with IEC 61499
Peter Herrmann, Alois Zoitl
CPSWatch: Lightweight Ontology for System Description and Diagnosis
Björn Ludwig, Maria Maleshkova, Oliver Niggemann
DriveAIAgent: A Multi-Agent System for Industrial Drive Commissioning and Troubleshooting
Virendra Ashiwal, Marcus Ritter, Sebastian Palacio, Nicolai Schoch
Work in Progress Papers
Optimizing Cyber-Physical Production Systems with Deep Learning and Information Fusion – Work-in-Progress
MICHAEL HIEB, Volker Lohweg
Towards Flexible and Adaptive Human-Robot Collaborations via Event-driven Microservices
Ronny Seiger
Enhancing OT Security with the Asset Administration Shell: A Semi-Automated Modeling Framework for Threat Hunting
Robin William Foster, Natalia Moriz, Henning Trsek
DTLEF: Universal Digital Twins for the Industrial Metaverse
Florian Heimann, Jan-Philipp Schulze, Oliver Wetter, Philip Wette
Specification of Asset Administration Shell submodel templates based on industry standards
Johnny Alvarado, Marcela Vegetti, Lucía Alonso Ferreira, Silvio Gonnet
Towards Security Architecture Modeling for Modular Automation Systems
Volodymyr Trykoz, Björn Leander, Saad Mubeen, Mohammad Ashjaei
Bridging Models and Language: An Encoder-Decoder Approach for Automated Architectural Documentation with LLMs
Lasse Reinpold, Hussein Hasso, Hanna Geppert, Felix Gehlhoff
Towards Integration of Legacy and Modular Automation Systems with Containerization
Muhammad Waqas, Per Erik Strandberg, Johan Furunäs Åkesson, Saad Mubeen, Mohammad Ashjaei
Configurable Robotic System through Parametrized MTP Services and Standardized SRCI Commands
Antonio Nappi, Michelle Blumenstein, Andreas Stutz, Alexander Fay
Automated Extraction of Conditional Causal Rules from Control Narratives Using Logic Programming and Large Language Models
Franz Christopher Kunze, Gianluca Manca, Alexander Fay
Trustworthy AI for Security Decision-Making in ICSs: Towards Compliance with the EU AI Act
Ali Mohammad Hosseini, Thilo Sauter, Wolfgang Kastner
Track 2 - Industrial Communication Technologies and Systems
Regular papers
Latency Evaluation of Industrial Wi-Fi for Real-Time Connectivity in Factory Setup
Akif Kabaci, Sebastian Bro Damsgaard, Preben Mogensen
Simulation-Based Evaluation of Adaptive Time-Quanta Shifting for EMI Reduction and Robustness in CAN FD Communication
Ziya Cevahir, Hafiz Abdul Quddus, Md Sanowar Hossain, Alexander Jesser
Scalable Online Scheduling with Zero Jitter for Time-Sensitive Networking
Yuan-Yao Shih, Pin-Yu Wu, Ai-Chun Pang
A Combination of Bluetooth Physical Layer Key Generation and Physically Unclonable Functions for Lightweight Security in IoT Edge Nodes
Wacime Hadrich, Axel Sikora
Resilient Time-Sensitive Networking for Industrial IoT: Configuration and Fault-Tolerance Evaluation
Mohamed Seliem, Dirk Pesch, Utz Roedig, Cormac Sreenan
Detecting QoS Degradation in Time-Critical Networks due to Misconfiguration or Attacks
Lukas Bechtel, Lukas Popperl, Michael Menth, Tobias Heer
A Smart Redundant Version of the MQTT Protocol
Claudio Zunino, Manuel Cheminod, Gianluca Cena, Alberto Morato, Stefano Vitturi, Elena Ferrari, Federico Tramarin
PS-Aware OSD – An Energy-Efficient Paging Approach for 5G-Enabled Industrial IoT Devices
Emmanuel Ogbodo, Juergen Jasperneite, Luciano Mendes, Arne Neumann, Anish Kurien, Adnan Abu-Mahfouz
Modelling and Simulation of Smart Electric Vehicle Charging Sites
Gerald Franzl, Albert Treytl, Oleg V. Bisikalo, Maria Forkaliuk
Digital Twins of Industrial and 6G Systems: Enablers Towards Situational Awareness
Armin Hadžiaganović, Joachim Sachs, James Gross, Damir Hamidovic, Mahin Ahmed, Raheeb Muzaffar, Andreas Springer, Hans-Peter Bernhard
A Methodology to Map Industrial Automation Traffic to TSN Traffic Classes
Kasra Ekrad, Inés Álvarez, Bjarne Johansson, Saad Mubeen, Mohammad Ashjaei
Performance Evaluation of Parallel Wi-Fi Redundancy with Deferral Techniques
Stefano Scanzio, Gianluca Cena, Pietro Chiavassa
Lossless Compression of Time Series Data: A Comparative Study
Jonas Matt, Pengcheng Huang, Balz Maag
On the Use of 5G Networks in IEC 61850-Based Electrical Substation Automation Systems
Ivan Lehmkuhl, Carlos Montez, Ricardo Moraes, Hector Leon, Paulo Portugal
Work in Progress Papers
Investigating the Targeted Interference on 5G NR Physical Channels
mohsen kazemian, Jürgen Jasperneite
Towards OPC UA over Shared Memory as an Open Intra-Host Middleware for Automation Software
Thomas Barth, Patrick Kremser, Tatjana Legler, Martin Ruskowski
Benchmarking OpenWiFiSync on ESP32: Towards Cost-Effective Wireless Time Synchronization
Michael Gundall, Jan Herbst, Robin Müller, Hans D. Schotten
Security Gateway for Automated Micro-Segmentation and VPN Encryption in Industrial Legacy Systems
Sabrina Kaniewski, Lukas Bechtel, Pascal Kneisel, Michael Menth, Tobias Heer
Towards Bridging Industrial Ethernet Networks: Protocol Translation and Runtime Verification
Quang-Duy NGUYEN, Darine RAMMAL, Christophe GASTON, Deepak V KATKORIA, Arnault LAPITRE, Saadia DHOUIB
Systems Architecture Design and Evaluation for Cooperative Building Energy Management and EV Charging Station Management Systems
Alireza Estaji, Gerald Franzl
Percepta: High Performance Stream Processing at the Edge
Luis Ferreira, Ricardo Severino, Tiago Carlos Fonseca, Clarisse Santos, Ricardo Venâncio
Time-Limited Software Firewall Based on DPDK Supporting TSN and DetNet Traffic
Lukas Bechtel, Markus Schramm, Michael Menth, Tobias Heer
An architecture for multi-layer covert-channel based authentication in IoT
Ricardo Severino, Bernardo Cabral, Luis Ferreira
Wi-Fi Rate Adaptation for Moving Equipment in Industrial Environments
Pietro Chiavassa, Stefano Scanzio, Gianluca Cena
Flow-Based vs Packet-Level Intrusion Detection for IoT Networks: A Comparative Resource and Performance Analysis
Barikisu Asulba, Pedro Souto, Luis Almeida
A Hierarchical Architecture for Prioritized MQTT
Alessio Pirri, Luca Leonardi, Gaetano Patti
Track 3 - Real-Time Systems and Applications
Regular papers
An unfair optimal scheduling algorithm for uniform multiprocessors
Thomas GASPARD, Pascal Richard, Emmanuel Grolleau, Antoine Bertout, Joël Goossens
Test case generation principle based on assume-guarantee reasoning
Tomas Ausberger, Karel Kubíček, Pavla Medvecova
NFC-based Power-Harvesting Signage System in an Embedded Real-Time Environment
Volker Tenta, Johannes Anderle, Patrick Schmitt, Roman Beneder
q-AMC: Integrating Quality Management in Mixed Criticality Scheduling
Alan Le Boudec, Hai-Nam Tran, Stéphane Rubini, Alexandre Skrzyniarz, Frank Singhoff
Replication-Driven Resource Sharing in Real-Time Multicore Systems
Moris Behnam
Work in Progress Papers
Towards a Framework for Dynamic Task Offloading in Real-Time Robotic Applications
Ali Balador, Mohammad Ashjaei, Madiha Umar, Ahmed Albayati, Andrew Williams, Saad Mubeen, Raquel Mini, Klas Nilsson, Karl-Erik Arzen
FPGA Clock Servo with Feed Forward Skew and Drift Correction
Jonas Wühr, Alexander Grundmann, Thomas Limbrunner
Adaptive Control for the Precision Time Protocol: When Oscillator Fluctuations Meet Wi-Fi Behavior
Samppa Raittila, Alf Isaksson, Ognjen Dobrijevic
Track 4 - Automated Manufacturing Systems
Regular Papers
Transparent Integration of Energy Awareness into Production Planning Systems
Stefan Kollmann, Alireza Estaji, Aleksey Bratukhin, Simon Howind, Roland Stenzl, Albert Treytl, Thilo Sauter
Automated Assembly Picking System for Cluttered Environments with Live Collision-Free Trajectory Planning
Xiaomei Xu, Attique Bashir, Jaykumar Bhagiya, Rainer Müller
Electric Vehicle Battery State Of Health Estimation For Adaptive Warranty Extensions And Battery Certification
Katarzyna Chyrowicz
Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production
Cornelius Hake, Christian Friedrich
Design and Implementation of 5G Asset Administration Shells: Bridging Networks and Industry 4.0
Elham Dehghan Biyar, Deniz Cokuslu, Janina Gauss, Manuel Fuentes, Alberto Alonso, Niels König, Robert H. Schmitt, Yunus Donmez
Bayesian Optimization of Process Parameters of a Sensor-Based Sorting System using Gaussian Processes as Surrogate Models
Felix Kronenwett,Georg Maier,Thomas Längle
A Hybrid Digital Twin Framework for Stability Analysis in Dynamic Systems
Diogo Rocha, Rui Pinto, Gil Gonçalves
Time Series Management in Data Acquisition and Analysis for Prototyping in Production Engineering
Mauritz Mälzer, Kim Wejlupek, Hajo Wiemer, Steffen Ihlenfeldt
Controlling the Shape of Deformable Linear Objects in 3D with a Simple Geometric Model
Miguel Burgh-Oliván, Miguel Aranda, Gonzalo López-Nicolás
Identification of an Approach for the Execution of Skill-Based Domain-Specific Languages in the Area of Human-Robot Collaboration
Lukas Buchner, Philipp Zallinger, Karin Nachbagauer, Alois Zoitl, Roman Froschauer
3SRank: An Effective Method for Measuring Semantic Similarity Strength
Lianyin Jia, Runxin Li, Haihe Zhou, Aoxiang Gao, Mengjuan Li
A Two-Stage Multi-Source Transfer Learning Approach for Software Defect Prediction
Hao Li, Shuo Wang
Complexity-Aware Distribution Optimization for Computing-intensive Distributed Automation Systems with IEC 61499
Tuojian Lyu, Udayanto Dwi Atmojo, Valeriy Vyatkin
Attention-Guided Time-Channel Masking for Self-Supervised Human Activity Recognition via Masked Sensor Data Reconstruction
long yang, Jun Qi, xiyang peng, Xulong Wang, Po Yang
Towards Few-shot LLM-based Vulnerability Reproduction and Verification for Industrial Web Applications
Gang Yang,Lin Ni,Shaofeng Lin,Tao Xia
Work in Progress Papers
Composing Relative Spatial Location Models in Skill-based Reconfigurable Cyber-Physical Production Modules
Aleksandr Sidorenko, Martin Ruskowski, Achim Wagner
Fault-Tolerant Architecture for Networked Control Systems with High-Quality Video Supervision Using FPGA-Enhanced Switches
Moustafa Awad, Tarek Refaat, Ramez Daoud, Hany Elsayed, Hassanein AMER
Requirements on data processing for simulation models in connected industrial Digital Twins
Gary Hildebrandt, Rainer Drath, Michael Weyrich
Industrial-Scale Automation of Zinc Ash Removal: A Robotic Approach to Enhancing Safety and Efficiency in Hot-Dip Galvanizing
Torsten Felsch, Gunnar Strauß, Felix Oppermann
Towards a Unifying Reference Model for Digital Twins of Cyber-Physical Systems
Jérôme Pfeiffer, Jingxi Zhang, Benoit Combemale, Judith Michael, Bernhard Rumpe, Manuel Wimmer, Andreas Wortmann
Interoperability-Based Integrated Simulation Method Utilizing Real-Time Data from Heterogeneous Manufacturing Equipment
hyeonsoo yu, jinsung lee
Energy-Based Optimization of Wire Paths in Free Space Using Discrete Elastic Rod Models
Ruben Lipperts, Christian Klarhorst, Marc Hesse, Ulrich Rückert
IIoT Platform for Assisted Manufacturing Processes: Asset Administration Shell Integration for Fine Grinding Technologies
Mohamad Wael kheshfeh
Resilient Production based on standardized and interlinked Data Foundation
Miriam Schleipen, Fabian Schmitt, Katrin Bischoff, Christian Wolf
The Role of Technical Documentation in Enabling Automated Generation of Machine Capabilities
Patrick Kremser, Tatjana Legler, Martin Ruskowski
Flexible communication configuration on field-level in a skill-based manufacturing environment
Katharina Justmann, Martin Ruskowski, Ludwig Leurs
Track 5 - Industrial Control
Regular Papers
Practical Implementation of PIDA Controllers
Francesco Campregher, Antonio Visioli
Electromagnetic linear actuator for dancer systems in coil winding applications
Gerd Janssen
Robust Vibration Suppression Learning Control for Resonance Frequency Variations: A Frequency-Shaping Approach
Shota Teramoto, Yoshihiro Maeda
Bumpless Transfer Control Strategy for Event-Based Cloud Control System
Alvin Surjana, Elmar Ahle, Dirk Söffker
A Nonlinear Model Predictive Control Approach for Hybrid Energy Storage Systems Using Heterogeneous Lithium Batteries
Paula Arias, Marc Farrés, Alejandro Clemente, Lluís Trilla
Modeling the Future: Next-Generation batteries and evaluation of Hybrid Energy Storage Systems with Physics-Based Models
Andrés Bernabeu Santisteban, Sergi Obrador Rey, Simon Clark, Eibar Flores Cedeno, Alejandro Clemente León, Lluís Trilla
Thermal Evaluation of Variable Frequency Drives: Design and Metrological Validation of an Automated Test Rig for Industrial Applications
Juliano da Silva, Rodolfo Flesch, João Machado
Optimizing Energy Allocation with the CEC-UAB Simulator: Forecasting Comparison
Ramon Gallinad Corti, Sebastián Madrigal, Jose Lopez Vicario, Antoni Morell, Ramon Vilanova
Enhancement Review of the Collective Self-Consumption based Energy Communities: Insights from a Spain-based Case
Sebastián Madrigal, Jose Lopez Vicario, Antoni Morell, Ramon Vilanova
Work in Progress Papers
A Study on Abnormal Stress Detection of Hydraulic Excavator
KAZUKI NARUTA, TORU YAMAMOTO, SHOTA OGUMA, KAZUHIRO IWASAKI, KENTA KOJIMA
Reinforcement‑Learning‑Enhanced Nonlinear Model Predictive Control for the Industrial BioPower 5 Biomass CHP Plant
Jukka Kortela
Enhanced Scheduled Sampling Training Framework for ANN-Based PID Control of a Continuous Stirred-Tank Reactor
Pau Comas, Jose Lopez Vicario, Antoni Morell, Ramon Vilanova
Self-tuning GMVC using an Adaptive Observer with a Mechanism for Stopping Updates based on Control Error
AKIRA YANOU
Design of a Prefilter for a Data-Driven Two-Degree-of-Freedom Control System
Kiyohito Hirokawa, Takuya Kinoshita, TORU YAMAMOTO
Hardware-in-the-Loop Simulation of BSM1 Using Speedgoat for Evaluating ANN-Based Control Strategies
Gerard Garcia Gros, Pau Comas, Antoni Morell, Carles Pedret, Montse Meneses, Ramon Vilanova, Jose Lopez Vicario
Design of a Performance-Driven PID Control System based on an Extended MV-Index
Yuki OHTSU, Takuya Kinoshita, TORU YAMAMOTO
Track 6 - Computer Vision and Human-Machine Interaction in Industrial and Factory Automation
Regular Papers
Plug-and-Play One-Shot Object Detection Framework for Industrial Applications
Milena Yahya, Enrico Civitelli, Nicola Longo, Alessandro Rizzo
Shopfloor-Integrated Manufacturing Operation Planning through Agents
Henrik Gerdes, Raven T. Reisch, Darius Burschka
Inspecting Defects of EB-PBF Components with Active Thermography and Deep Learning: A Feasibility Study
Seyed Mohammad Mehdi Hosseini, Fabio Depaoli, Francesco Ponzio, Simone De Giorgi, Giovanni Rizza, Emanuele Tognoli, Giulia Colombini, Manuela Galati, Santa Di Cataldo
Recognizing Human Actions in Collaborative Human-Robot Assembly Manufacturing
Giorgio Zoppi, Matteo Forlini, Giacomo Palmieri, Pedro Neto
Non-Contact Vibration Measurement Method Using High-Speed Imaging Applied to Pipelines
Cassiano Montibeller, Rodolfo Flesch, João Zomer, Lucian Silva, Arcanjo Lenzi, Mechelangelo Mancuzo
Work in Progress Papers
One-stage Depth Enhancement: Combining Depth Super-Resolution and Depth Completion
Gabriele Spagnuolo, Enrico Civitelli, Simone Panicucci, Alessandro Rizzo
Physical Annotation for Automated Optical Inspection: A Concept for In-Situ, Pointer-Based Trainingdata Generation
Oliver Krumpek, Oliver Heimann, Jörg Krüger
The DeepFrame Concept: Improving AI Robustness for Industrial Applications
Philipp Augenstein, Luisa Pfreundschuh, Till Mathis Weber, Moritz Weisenböhler, Christian Wurll, Björn Hein
Towards Safe Collaboration Between Humans and High-Payload Robots Using Camera-Monitored LED-Array Floor Modules
Christian Vogel, Christoph Urbahn, Peter Schatschneider, Christoph Walter, Norbert Elkmann
QRmap: executable QR codes for Navigation in Industrial Environments and Beyond
Stefano Scanzio, Paolo Campagnale, Pietro Chiavassa, Gianluca Cena
Unsupervised Defect Clustering From Optical One-Class Anomaly Detection
Martin Pape, Defne Milen Gueler, Ferdinand Wasselewsky, Tom Wolf
Towards an Artificial Intelligence System for Automated Accessory Removal in Textile Recycling: Detecting Textile Fasteners
Daniel Lopes, Manuel F. Silva, Luís F. Rocha, Vítor Manuel de Filipe
Optimizing PatchCore for One-Shot Industrial Anomaly Detection
Simona Zlatanova, Piercarlo Dondi,Marco Porta, Michele Antolini
Development of LSTM based SER pipeline for multimodal embedded emotion recognition
Marta Borras, Edmundo Guerra, Yolanda Bolea, Antoni Grau
Vision-Based Human Awareness Estimation for Enhanced Safety and Efficiency of AMRs in Industrial Warehouses
Maximilian Haug, Christian Stippel, Lukas Pscherer, Benjamin Schwendinger, Ralph Hoch, Angel Gaydarov, Sebastian Schlund, Thilo Sauter
Track 7 - Intelligent Robots and Systems
Regular Papers
Dynamic k-NANN-A* for Multi-Robot Path Planning
Enrique Aldao, Laura María Fernández Pardo, Fernando Veiga López, Higinio González-Jorge
Performance Characterization of the LEAP Hand: Control Interface and Digital Twin Integration
Zahid Iqbal, Martin Dehmel, Sebastian Zarnack, Konstantin Werde
A Receding Horizon Trajectory Tracking and Obstacle Avoidance Strategy for Constrained Differential-Drive Robots
Alexis Fernando Marino Salguero, Cristian Tiriolo, Walter Lucia, Francesco Tedesco
Touch-based Effector Control to Track 3D Surfaces
Edison Patricio Velasco Sánchez, Julio Castaño-Amoros, Pablo Gil, Fernando Torres
Experimental Investigation on the Handling Stability of Vacuum Grippers with Multiple Suction Cups
Paul Geng,Sebastian Fendt, Stephan Trattnig, Johannes C. Bauer, Lukas Tanz, Rüdiger Daub
Applying Vision Transformers and Large Language Models to Anomaly Detection for Safer UAV Landings
Mohammadreza Ranjbardivkoti, A. Pedro Aguiar
Terrain Issue Detection for Servitization of Autonomous Lawn Mowing
Alan Araujo, Carl Borngrund, Ulf Bodin, Olov Schelén, Erik Zeitler
Arbutus Berry Detection and Classification for Harvesting
Joana Pereira, André Baltazar, Isabel Pinheiro, Daniel Queirós da Silva, Filipe Baptista Neves dos Santos
Robust ViT-enhanced Detection of Sacrificial Anodes in Harsh Underwater Conditions
Alexandre Costa, Andry Pinto, Pedro Leite
Integrating LLMs into Collaborative Robotics for Automated Zipped Apparel Disassembly
Andrea Bonci, Alessandro Di Biase, Sauro Longhi, Ilaria Pellicani, Mariorosario Prist, Andrea Serafini
NMPC Control Stability for AGVs in a multi-radio-technology wireless network
Eray Bektas, Konstantin Schneider, Daniel Zöller, Wolfgang Kiess, Eike Lyczkowski
Mixture of Experts Detection System for Enhanced Automatic Annotation in Photovoltaic Modules
Bárbara Santos, Lourenço Pinho, Tiago Sousa, Andry Pinto
Agent-based Initialization of Autonomous Mobile Robots: Leveraging the Asset Administration Shell for automated Commissioning
Philipp Richard, Alexis Tobias Bernhard, Andreas Luxenburger, Henning Gösling, Achim Wagner
Mobile manipulator base placement optimization using an ellipsoidal reachability model
Rosario Francesco Cavelli, Pangcheng David Cen Cheng, Marina Indri
Behavior Tree-Driven Reconfiguration Framework with Multimodal Interfaces for Handling Novel Situations in Industrial Settings
Sharath Chandra Akkaladevi, Kapil Deshpande, Sebastian Ukleja, Markus Ganglbauer, Andreas Pichler
Work in Progress Papers
Towards a Configurable and Reusable RL Training Infrastructure for AMRs in ROS2
Pauline Steffel, Jürgen Bock, Alexander Schiendorfer
Contextual Continuous Risk Metric for Predictive Safety Validation in Autonomous Vehicles
Eike Mühle, Gianluca Manca, Alexander Fay
Smooth path planning with safety margins using Piece-Wise Bezier curves
Iancu Andrei, Cristian Mahulea, Marius Kloetzer, Constantin-Cătălin Dosoftei
Wireless Time-Sensitive Networking for Real-Time Unmanned Ground Vehicle Control and Mapping
Elena Ferrari, Dave Cavalcanti, Valerio Frascolla, Alberto Morato, Stefano Vitturi, Angelo Cenedese
Decomposition of LTL specifications via formal concurrency relations in Büchi automata
Ioana Hustiu, Marius Kloetzer, Cristian Mahulea
Building a Long-Term Indoor Raw Road-Sign Dataset with 3D-Printed Models
Christian Klarhorst, Dennis Quirin, Marc Hesse
Track 8 - Advanced Sensing Technologies in the Industrial Internet of Things Era
Regular Papers
Non-Invasive Method for Estimating Oil Volume in Hermetic Systems
Guilherme Ludwig, Rodolfo Flesch, João Zomer
A Study of On-Device Deep Reinforcement Learning for Task Offloading under Dynamic 5G Channel Conditions
Gorka Nieto, Idoia de la Iglesia, Unai Lopez-Novoa, Cristina Perfecto, Ali Balador, Mohammad Ashjaei
Control system runtime environment for anesthesia process automation
Jakub Dębosz, Kacper Krystaszek, Andrzej Pawlowski
From Fragmentation to Integration: A Framework for Heterogeneous IoT-based Smart City Systems
Tiago Amorim, João Bittencourt, Daniel G. Costa, Paulo Portugal
SyncFed: Time-Aware Federated Learning through Explicit Timestamping and Synchronization
Baran Can Gül, Stefanos Tziampazis, Nasser Jazdi Motlagh, Michael Weyrich
Work in Progress Papers
Efficient storage by filtering of large sensor data for infrastructure monitoring
Thomas Routhu, Alberto Pavese, Francesco Graziotti, Tullio Facchinetti
Self-Monitoring and Self-Adjustments in Magnetostrictive Position Sensors with Hybrid-AI
Aimal Khan, Thomas Greiner
Introducing QoS Classes to Provide Different Levels of Reliability in LoRaWAN Downlink
Mattia Pirri, Luca Leonardi, Gaetano Patti
Track 9 - Complex Automation Systems and Systems Engineering
Regular Papers
Integration of Digital Twins with Reinforcement Learning in Industry: a Systematic Review
Marco Antonio Paz Ramos, Axel Busboom
Towards exchanging monitoring data in flexible and distributed factory organization structures
Alexis Tobias Bernhard, Ali Karnoub, Jonathan Bartels, Simon Jungbluth, Achim Wagner, Martin Ruskowski
Algorithm-based Evaluation of Automation Potential and Improvement Strategies in Automotive Assembly
Patricia Freyler, Fritz Titzmann, Hannes Röpke, Klaus Dröder
Process simulation development with IEC 61499 for runtime execution
Pathirage Pasindu Rashmika Padmathilaka, Pranay Jhunjhunwala, Valeriy Vyatkin
Automatic Behavior Simulation Model Generation for Virtual Commissioning of Machine Tools through Engineering Data Integration
Sascha Schaper, Franz Georg Listl, Tim Schenk, Stephan Grimm, Alexandra Ast, Alexander Verl
AutomationML Library Space: A concept for sharing and versioning Engineering Data Models
Rainer Drath, David Hoffmann
Requirements Analysis for a Generic Smart Grid Application Description Language: A Grounded Theory Approach
Felix Knorr
MBSE in the Manufacturing Domain: Adoption Insights, Benefits and Challenges
Sarah Riedmann,Christoph Binder,Christian Neureiter
CRADLE: Cross-Vendor Asset Digital Twin Architecture using Industrial Interoperability Standards with Application to Paper Manufacturing
Prerna Juhlin, Jan Schlake, Chen Song, Andreas Zehnpfund, Sten Grüner, Andreas Schmeiser, Kai Kratzer, Rosario Othen, Jonathan Sejdija, Philip Kayser
Demonstrating Ontology-Based DSL Specification in the Automotive Domain
Katharina Polanec, Simon Eschlberger, Christian Neureiter
Introducing a MOF-based Profile Generator to automate DSL Implementation from Formal Metamodels
Katharina Polanec, Sarah Riedmann, Simon Eschlberger, Christian Neureiter
Reducing Commissioning Efforts in the Process Industry Through Open Standards
Emil Karlsson, Pranay Jhunjhunwala, Pirya Devi, Tommi Niininen, Harry Nyqvist, Valeriy Vyatkin
The IEDT Framework: Enabling Efficient Engineering Data Exchange Using AutomationML
Ranjitkumar Gudder, David Hoffmann, Paula Hünecke, Arndt Lder
Common Concept Method for Citizen Modelers in Cross-Domain Engineering
Paula Hünecke, Christoph Binder, David Hoffmann, Hoang-Toni Hoang, Arndt Lder
Roundtrip modelling between Enterprise Architect and AutomationML
Ashley Jason Dsouza, David Hoffmann, Prathamesh Kadam, Ranjitkumar Gudder, Arndt Lder
Integration of Security Patterns for Quality Analysis in Production Systems Engineering
David Hoffmann, Arndt Lder
Work in Progress Papers
AML-ID – concept and implementation of semantic matching with AutomationML
Rainer Drath
Model-Based Control for Power-to-X Platforms: Knowledge Integration for Digital Twins
Daniel Dittler, Peter Frank, Gary Hildebrandt, Luisa Peterson, Nasser Jazdi Motlagh, Michael Weyrich
Towards a way to a meaningful Digital Product Passport
Arndt Lder, Paula Hünecke, David Hoffmann
Boosting Virtual Commissioning using FMU-based Zoom-In Models
Christian Wolf, Felix Wittmann, Miriam Schleipen, Tina Mersch
Towards Engineering Product Digital Twins for Industry 5.0: Definition and Modeling Approach
Quang-Duy NGUYEN, Kunal SURI, Guéréguin Der Sylvestre SIDIBE
LLM-Driven Requirements Formalization for Model-Driven Manufacturing Systems
Ranjitkumar Gudder, David Hoffmann, Paula Hünecke, Arndt Lder
Concept for Model Driven Verification of Production Quality in B2B-Scenario
Philip Sehr, Natalia Moriz, Henning Trsek
Automated Validation of Textual Constraints Against AutomationML via LLMs and SHACL
Tom Westermann, Aljosha Köcher, Felix Gehlhoff
From Passive to Active: Embedding Sense–Plan–Act in AAS-Based Digital Twins
Dennis Quirin, Christian Klarhorst, Marc Hesse
Track 10 - Artificial Intelligence for Cyber Physical Systems in Automation
Regular Papers
An Architecture for Integrating Large Language Models with Digital Twins and Automation Systems
Yuchen Xia, Nasser Jazdi Motlagh, Michael Weyrich
LLM-based Iterative Refinement of Finite-State Machines with STPA Controller Constraints and Generation of IEC 61499 Code
Carl Akira King, Valeriy Vyatkin
On the Impact of Instance- and Type-Level Modeling on Neural Network-Based Anomaly Detection for Cyber-Physical Systems
Daniel Vranjes, Oliver Niggemann
Edge-AI Framework for Fire Detection in Wildland-Urban Interface using TinyML
Rodrigo da Silva, João Bittencourt, Daniel G. Costa
Control Industrial Automation System with Large Language Model Agents
Yuchen Xia, Nasser Jazdi Motlagh, Jize Zhang, Chaitanya Shah, Michael Weyrich
A New Approach to Time Series Anomaly Detection using the wavKAN Architecture
Robert Bakschik, Christoph-Alexander Holst, Volker Lohweg
Evaluating Advanced Anomaly Detection Models for Time Series Data of Refrigeration Systems
Melina Meyer, Julian Eversheim, Johannes Pitterle, Martin Gergeleit, Dirk Krechel
Ontology-Based CAD Analysis with LLMs: Natural Language Querying of Boundary Representations
Dominik Mittel, Alexander Perzylo
Leveraging LLMs Towards Assistant-based Support for Industrial Threat Models
Enrico Fregnan, Christian Göttel, Balz Maag, Abdallah Dawoud, Georgios Nakas
LLMs as Data Preprocessors for Natural Language Processing in Manufacturing
Tom Koerner, Marco Huber, Marvin May
Combining Physical Properties with Probabilistic Methods in Neural Networks for Robust Forecasting in Electric Grids
Samim Multaheb, Edgar Diego Gomez Anccas, Detlef Schulz, Oliver Niggemann
Creating Virtual Sensors Using NeuralNetworks
Björn Ludwig, Jonas Ehrhardt, Oliver Niggemann
Tailoring RAG Strategies for Industrial Protocols: A Comparative Study on PROFIBUS Document Retrieval using Gemma and GPT Models
Thaís Medeiros, Morsinaldo Medeiros, Matheus Andrade, Marianne Silva, Ivanovitch Silva, Massimiliano Gaffurini, Dennis Brandao, Paolo Ferrari
Machine Learning to Predict Slot Usage in TSCH Wireless Sensor Networks
Stefano Scanzio, Gabriele Formis, Tullio Facchinetti, Gianluca Cena
Automatic Coin Grading: Model Based on Siamese Neural Network with EfficientNet Encoders
Makar Korchagin, Melaku Getahun, Abdelrahman Metwally, Anna Baldycheva, Andrey Somov
A Comparative Study of Attention-Augmented YOLO Architectures for Defect Detection in Fused Deposition Modelling
Hasan Cezayirli, Halil Tetik, Mehmet İsmet Can Dede, Wai Lwin Phone, Bugra Alkan
Automation of Automation: Mapping LLM Capabilities to the Modular Plant Engineering Workflow
Lucas Vogt, Leon Urbas
Work in Progress Papers
Toward Co-Working with Autonomous Agents: Rethinking Operations of Automation Systems
Martin Kovacs, Johannes Baumgartl, Fabian Schreier, Ferdinand Hummel, Jan Seyler, Shahram Eivazi
Few-Shot Learning-Based Analysis of Production Areas Using Large Foundation Models and Metric Learning
Johannes C. Bauer, Johanna Dechent, Stephan Trattnig, Paul Geng, Sonja Wächter, Rüdiger Daub
Facilitating the Automated Generation of Data-Based Models for the Diagnostics and Prognostics of Technical Systems
Alexander Loewen, Dennis Quirin, Marc Hesse, Osarenren Aimiyekagbon
Automated Documentation of Security Risk Assessments with Large Language Models
Marco Ehrlich,Lisa Gebauer,Sebastian Wolf,Uwe Mönks,Henning Trsek
Online Bayesian Inference for Real-Time PV Forecasting and Efficiency Estimation
Adrià Arús Setó, Jose Lopez Vicario, Ramon Vilanova, Antoni Morell
A Framework to integrate Machine Learning Decision Preferences in Manufacturing Use Cases
Kristina Dachtler, Alexander Schiendorfer
MST and MPT: Lightweight Incremental Algorithms for Multivariate Anomaly Detection and Correction on TinyML Devices
Morsinaldo Medeiros, Thaís Medeiros, Marianne Silva, Ivanovitch Silva, Massimiliano Gaffurini, Dennis Brandao, Paolo Ferrari
AI Workflow for Scarce Data: A Modular Approach to Optimise Processes
Julian Bültemeier, Marvin Schöne, Christoph-Alexander Holst, Bjarne Jaster, Volker Lohweg, Martin Kohlhase
Testbed and Software Architecture for Enhancing Security in Industrial Private 5G Networks
Song Son Ha, Florian Foerster, Thomas Doebbert, Tim Kittel, Dominik Merli, Gerd Scholl
On-device Fault Classification for industrial environments: leveraging hierarchical CNNs for energy efficiency
Marco Wagner, Devesh Vashishth, Ralf Laemmel, Kvya Sasikumar
NetPilot - Towards LLM-Assisted Configuration of Hybrid TSN/5G Networks
Stefan Windmann, Janis Albrecht, Maxim Friesen, Juergen Jasperneite
Safe reinforcement learning for ship energy management optimization with LLM-based reward shaping
Erald Shahinas, Carl Akira King, Udayanto Dwi Atmojo
Exploring Safe Reinforcement Learning Using Safety Shields Derived With System-Theoretic Process Analysis: A Case-Study on a Cruise Ship Hotel System
Carl Akira King, Erald Shahinas, Udayanto Dwi Atmojo, Valeriy Vyatkin
Distributed Learning Technique with Deep ESN-Based Models for Energy Forecasting
Andrea Bonci, Mariorosario Prist, Lorenzo Longarini, Alessandro Di Biase, Andrea Monteriù
A Multi-Agent Reinforcement Learning Approach to real-time Demand Response in Cruise Ship Cabins
Harri Aaltonen, Markus Häkkinen, Udayanto Dwi Atmojo, Valeriy Vyatkin
Beyond Formal Semantics for Capabilities and Skills: Model Context Protocol in Manufacturing
Luis Miguel Vieira da Silva, Aljosha Köcher, Felix Gehlhoff
LangBO: A Framework for Language-Guided Prior Integration in Bayesian Optimization
Philip Topalis, Marvin Schieseck, Felix Gehlhoff
Exploration of the UMAP Algorithm for Assessment of Similarity between Synthetic and Real-world Image Datasets
Alexander Moriz, Gabriel Ochoa de Zabalegui Apraiz, Dominik Wolfschläger, Amon Göppert, Robert H. Schmitt
Towards Semantic Grasp Planning using Ontology-based Geometry and Capability Models
Florian Bidlingmaier, Benjamin Degenhart, Alexander Perzylo
Track 11 - Vehicular Embedded Systems
Regular Papers
Development of the Environment Adaptive Controller for the Capsule Train Ride Comfort Improvement
Jinho Lee, Jae-Young Lim, Dongho Yang
Prediction of Vehicle Battery Thermal Runaway Events
Andrzej Ruta
Hierarchical Graph Search for Multi-Goal Route Planning in Autonomous Driving
Andrea Bonci, Federico Brunella, Matteo Colletta, Alessandro Di Biase, Aldo Franco Dragoni, Anjelo Libofsha
Cross-Divisional Cybersecurity Risk Management in Automotive: Requirements and Current Practices
Patrick Wagner
Autoencoders for Embedded Sensor Data Compression: A Case Study on Vehicular IoT Systems
Matheus Andrade, Miguel Amaral, Morsinaldo Medeiros, Marianne Silva, Ivanovitch Silva, Massimiliano Gaffurini, Dennis Brandao, Paolo Ferrari
TruckRSS: Adding Variable Mass to the Responsibility-Sensitive Safety Model
Murillo Guindani, José Luis Conradi Hoffmann, Antônio Augusto Fröhlich
CONAN-TSN: An Integrated Toolchain for CONfiguration and ANalysis of TSN Networks
Daniel Bujosa, Saad Mubeen, Mohammad Ashjaei
Kolmogorov–Arnold Networks under TinyML Constraints: A Study on SoC Estimation for Electric Vehicles
Thommas Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva
Work in Progress Papers
Evaluation of the boot time in a Linux automotive environment with security constraints
Serghej Mazza, Fabio Calabrò, Francesco Valla, Andrea Amer, Tullio Facchinetti
A Co-Simulation Framework for Assessing the Impact of Driving Styles on Energy Consumption and SOC Prediction in EVs
Ikram Hamdioui, Vincent Chevrier, Mustapha Faqir, Ouassim Karrakchou, Mounir Ghogho
Cost-Effective AI-Driven LiDAR & Camera Front/Rear Fusion for Motorcycle Accident Prevention
Manar Rashad, Alyaa Ismaeil, Gehad Alkady, Hany Elsayed, Hassanein AMER, Ramez Daoud
Intelligent Maintenance System for Legacy Vehicles
Walmir Acioli e Silva, Jussif Junior Arnez Abularach Arnez, Maria Gabriela Lima Damasceno, Renan Landau Paiva de Medeiros, Iury Bessa, Vicente Lucena
Retrofitting Legacy Vehicles to Acquire IoV Capability
Walmir Acioli e Silva, Jussif Junior Arnez Abularach Arnez, Maria Gabriela Lima Damasceno, Wederson Medeiros Silva, Vandermi João da Silva, Vicente Lucena
Achieving Quality of Service Differentiation in Ethernet 10BASE-T1S nodes
Francesco Cerruto, Luca Leonardi, Lucia Lo Bello, Gaetano Patti
Special Sessions
Special Session 1 Accepted Papers
SS01 - Robustness and Uncertainty Quantification in Industrial AI
Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems
Alexander Windmann, Henrik Steude, Daniel Boschmann, Oliver Niggemann
Optimizing Aircraft Assembly: A Machine Learning Approach for Screw Fastener Outcome Prediction
Tobias Gentner, Moritz Knoell, Tim Konle, Jannic Adam, Marco Klaiber, Andreas Theissler, Hermann Baumgartl
A Dataset and Baseline for Deep Learning-Based Visual Quality Inspection in Remanufacturing
Johannes C. Bauer, Paul Geng, Stephan Trattnig, Petr Dokládal, Rüdiger Daub
Leveraging Large Language Models for Robust Maintenance Rule Extraction in Industrial Settings
Chen Song, Reuben Borrison, Ralf Gitzel, Nilavra Bhattacharya, Nicola Tamascelli
The Truth About Labels: Unveiling The Hidden Risk to Supervised Machine Learning Models
Marcel Dix, Gianluca Manca, Alexander Fay
Measuring the Robustness of Alarm Flood Classification Against Alarm Data Quality Issues
Gianluca Manca, Amirhossein Najafi, Nicola Tamascelli, Franz Christopher Kunze, Marcel Dix, Martin Hollender, Alexander Fay, Tongwen Chen
Automatic Validation of Unstructured LLM-Generated Outputs: An Approach for Q&A Applications in Process Automation
Mohamed Elsheikh, Nicolai Schoch, Sebastian Palacio, Nika Strem, Katharina Stark, Mario Hoernicke
Special Session 3 Accepted Papers
SS03 - Addressing Data Scarcity: Machine Learning, Information Fusion, and Sustainable AI
Revisiting the OPC-UA Dataset for Intrusion Detection: A Scarcity-Aware Benchmarking Perspective
Rui Pinto, Gil Gonçalves
On the Impact of Pretraining with Simulated Data on Anomaly Detection in CPS - A Case Study
Richard Jaufmann, Niklas Widulle, Jonas Ehrhardt, Daniel Vranjes, Oliver Niggemann
Quality Control in Plastic Fiber Production: Overcoming Scarce Data with Explainable AI
Jan Ehlenbröker, Christoph-Alexander Holst, Volker Lohweg
Enhancing Predictive Accuracy in Aircraft Engine MRO using Clustering and Similarity Methods
Leonardo Mendonça, Flávia Pires, Miguel Duarte, Jose Barbosa, Paulo Leitao
Generation of Synthetic Data for DL-based Defect Detection in the Automotive Context
Alexander Moriz, Dominik Wolfschläger, Andrei Svetlakov, Miguel Suchodolak, Achim Byl, Friedrich Wolf-Monheim, Kai Wege, Eilis Carey, Robert H. Schmitt
Digital Transformation in HPDC: Maintenance Forecasting and Remaining Useful Life of Die
Analucia Morales, Lucas Bertinetti, Marcos Oliveira, Demóstenes F. Filho, Antonio Pereira, Heinz Rahmig, Thaynara Mabille, Renato Bulcao, Iwens Sene, Patricia Della Méa Plentz
Unsupervised Anomaly Detection in Industrial Machines supported by Vibration analysis Under Data Scarcity Constraints
Pedro Torres, Geoffrey Spencer, Arthur Esteves, Fernando Sousa, Fernando Pereira, Rui Guerreiro
Special Session 5 Accepted Papers
SS05 - Capability- and Skill-based Engineering of Manufacturing Systems
Towards a Skill-Based Framework for User-Centric QoS-Based Orchestration of Human-Robot Collaboration Workflows
Lukas Buchner, Philipp Zallinger, Karin Nachbagauer, Alois Zoitl, Roman Froschauer
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, Felix Gehlhoff, Alexander Fay
A modular knowledge base concept for dynamic control logic for adaptive manufacturing
Andreas Lober, Alexander Verkhov, Hartwig Baumgaertel, Lisa Ollinger
Special Session 6 Accepted Papers
SS06 - (Gen)AI driven Safe, Secure, and Sustainable (I)-IoT/CPS
Secure Factory Automation Using IoT-Based Clustered PD-NOMA
Naureen Farhan, Aisha Danish
Towards Privacy Analysis of Internet-based Messaging Applications
Muqaddas Naz, Muhammad Taimoor Khan
Automatic Recovery of Run-time Threats in Distributed Industrial Control Systems
George Raptis, Taimoor Khan, Christos Koulamas, Dimitrios Serpanos
Special Session 7 Accepted Papers
SS07 - Evaluation Methods for Autonomous Cyber-Physical Systems’ Behavior
Fault Prevention and Removal in the Context of Autonomous Mobile Robots
Aron Schnakenbeck, Christoph Sieber, Luis Miguel Vieira da Silva, Felix Gehlhoff, Alexander Fay
Consistency Verification in Ontology-Based Process Models with Parameter Interdependencies
Tom Jeleniewski, Hamied Nabizada, Jonathan Reif, Felix Gehlhoff, Alexander Fay
A Review on Anomaly Detection for Connected Vehicles Using Deep Reinforcement Learning
Matthias Weiß, Maurice Paul Artelt, Friedrich Sautter, Philipp Grimmeisen, Nasser Jazdi Motlagh, Michael Weyrich
Leveraging LLM Agents and Digital Twins for Fault Handling in Process Plants
Milapji Singh Gill, Javal Vyas, Artan Markaj, Felix Gehlhoff, Mehmet Mercangöz
The HAI-CPS Benchmark: Evaluating AI Capabilities across Hybrid Data Spaces
Lukas Moddemann, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann
Towards a Digital Twin-Based Evaluation Framework for Cyber-Physical Production Systems: Latin America SMEs Guideline
Edgar Chacon, Luis Alberto Cruz Salazar, Ernesto Monroy Cruz, Libis Valdez Cervantes, Juan Sebastián Sánchez Gómez, Maria Mercedes Larrondo-Petrie
Special Session 8 Accepted Papers
SS08 - Software Engineering for Cyber-Physical Production Systems (SECPPS)
A Conceptual Modelling Language for CPPS
Mainak Majumder, Alois Zoitl
Towards Event Flow Graphs for Analyzing Event Propagation in IEC 61499
Dunja Životin, Alois Zoitl
Using Behavior Trees in Risk Assessment
Razan Ghzouli, Atieh Hanna, Endre Eros, Rebekka Wohlrab
Special Session 9 Accepted Papers
SS09 - Industrial Wireless Systems Measurements, Performance Assessment, and Standardization
R-TWT in Wi-Fi 7 and Beyond: Enabling Bounded Latency, Energy Efficiency, and Reliability
Erfan Mozaffariahrar, Francesc Wilhelmi, Lorenzo GALATI GIORDANO, Pasquale Imputato, Michael Menth, Stefano Avallone
MARS: Multi-radio Architecture with ML-powered Radio Selection for Mesoscale IoT Applications
Jothi Prasanna Shanmuga Sundaram, Arman Zharmagambetov, Magzhan Gabidolla, Miguel Carreira-Perpinan, Alberto Cerpa
COMNETS: COst-sensitive decision trees approach to throughput optimization for Multi-radio IoT NETworkS
Jothi Prasanna Shanmuga Sundaram, Magzhan Gabidolla, Miguel Carreira-Perpinan, Alberto Cerpa
Special Session 10 Accepted Papers
SS10 - Zero Defects Manufacturing in the Industry 4.0 Era: AI-Driven Quality, Automation, and Cyber-Physical Systems
Enabling Zero-Defect Manufacturing Through Thermographic Data Analysis: a Steel Industry Use Case
Vittoria Medici, Milena Martarelli, Bart Verhoef, Wilhelm Van De Kamp, Nicola Paone
A Zero-Defect Manufacturing Decision-Support System for the Decorative Surfaced Panels Industry
Eliseu Pereira, Gonçalo Pinto, Beatriz Coutinho, Gil Gonçalves, José Diogo Correia, Paulo Costa Reis
Industry 4.0: Automating Gearbox Sound Anomaly Detection Using Machine Learning
Harry Hamjaya, Motunrayo Ibiyo, Shihabur Samrat, Puja Dhakal, Nicolas Leberruyer, Sébastien Lafond, Hergys Rexha
IIoT portable laser line profilometer powered by AI for gap and flush measurement in automotive
Cristina Cristalli, Matteo Nisi, Paolo Chiariotti, Emanuele Lattanzi, Nicola Paone
Interpreting Data in the Absence of Production Time Consistency and Source Tracking
Mildred Puerto-Coy, Asier Zubia, Pablo Galan, Laura Gomez, Arantza Bereciartua
Microservices based Artificial Intelligence Diagnosis System for Zero Defect Manufacturing
Júlio Costa, Waldyr Gonçalves, André Pinz Borges, Rui Tadashi YOSHINO, Jose Barbosa, Gonçalo Mota, Gisela Garcia, Paulo Leitao
A human-centric drift controller framework for adaptive and explainable quality control in manufacturing
Paolo Catti, Nikos Nikolakis, Kosmas Alexopoulos
Special Session 11 Accepted Papers
SS11 - Smart and Efficient - Emerging Trends in Building Automation
Digital Twins in the Built Environment for Indoor Air Quality Management
Jinhai Tang, Qian Xu, Theo Tryfonas
Skill-Based Multi-Agent Systems for Building Control Using KNX IoT and Web of Things
Gernot Steindl, Thomas Rapberger, Christoph Gehbauer
Short-term forecast of indoor CO2 using Gradient Boosting: A use case of a hospital in Greece
Christos Mountzouris, Grigorios Protopsaltis, Ioannis Gialelis, Despoina Fytili
Human-centric approach for determination of Thermal Plume theoretically and experimentally
Nadia Bali, Vasileios Evangelopoulos, Maria Eleni Karaitsi, Panagiotis Bouras, Ioannis Gialelis
Human-Centric Lighting System with AI-Based Object Tracking
Filip Durlik, Jakub Grela, Andrzej Ozadowicz
Control of Renewable Energy Communities using AI and Real-World Data
Tiago Carlos Fonseca, Luis Ferreira, Ricardo Severino, Pedro Pires, Ricardo Venâncio, Clarisse Sousa, Pedro Paiva, Paulo Rodrigues
Ensuring Data Quality in FIWARE-Based Air Quality Monitoring Systems: A Step-by-Step Approach
Tony Rosset Anto, Borja Albert Gramaje, Lukasz Wisniewski
Workshops
Workshop 1
WS01 - 4th Workshop on Implementing Asset Administration Shells (ImplAAS)
Automated Configuration of BaSyx DataBridge using Standardized Asset Administration Shell Interface Modelling
Andrés Pérez Vaz, Emilio Costa Tobío, Davinia Fernández Martínez, Lucía Alonso Ferreira
Faster Implementation Time Through Interoperability: Let's Proof it!
Johannes Mäule, Frank Leinenbach, Thomas Leich, Christian Diedrich
Semantic Comparison of Asset Administration Shells
Björn Otto, Torben Miny, Igor Garmaev, Marko Ristin, Sebastian Heppner, Nico Braunisch, Tobias Kleinert, Hans Wernher van de Venn, Martin Wollschlaeger
Access Control for Asset Administration Shell Applications
Ornella Mboudia, Sebastian Heppner, Torben Miny, Tobias Kleinert
Combining Publicly Available SDKs and Code Generation Tools to Streamline the Implementation of AAS Applications
Tom Gneuss, Marko Ristin, Nico Braunisch, Hans Wernher van de Venn, Martin Wollschlaeger
Toward Low-Code Industrial Data Integration through Asset Administration Shell-Based Flow Generation in Node-RED
Tamás Farkas, Wei Guo, Ornella Mboudia, Igor Garmaev, Torben Miny, Tobias Kleinert
AAS to support the Operator as a Service vision
Ander Garcia, Xabier Oregui, Marco Ojer, Sergio Valdes, Jairo Sanchez, Iñigo Mendizabal
Towards an AAS Event Mechanism: A proposal to extend the AAS specification
Melanie Stolze, Niklas Ritz, Alexander Belyaev, Rene-Pascal Fischer, Christian Kosel, Raghavendra Ungarala
Monitoring Private 5G Systems with the Asset Administration Shell: A Case Study
Mike Reichardt, Michael Gundall, Daniel Buch, Philip Stricker, Hans Schotten
Bridging the Qualification Gap for the Asset Administration Shell: A Modular and Role-Based Learning Framework
Daniel Büttner, Dirk Schöttke, Sönke Knoch, Andreas Bayha, Claudette Ocando Röhricht, Stephan Schäfer, Daniel Porta, Tim Schwartz, Aaron Zielstorff
Utilization of Asset Adminstration Shells for e-Commerce Applications
Markus Rentschler, Alwin Hoffmann, Moritz Hofer
Queryable AAS Graphs for AI Agents: An Event-Driven Knowledge Graph Integration for AAS Environments
Gerhard Sonnenberg, Peter Stein, Fabio Andres Espinosa Valcarcel, Daniel Porta
Capability Determination in Manufacturing Using Historical Data
Marco Simon, Patrick Kremser, Tatjana Legler, Martin Ruskowski
Realization of a Shared Manufacturing Network using Capabilities, Skills and Services
Marco Simon, Chris Urban, Michael Winter, Aljosha Köcher
Workshop 2
WS02 - Empowering Industry 5.0: Adaptive Planning, Learning, and Control in Human-Robot Collaboration
Safety in Outdoor Applications: Multispectral Deep Fusion Approach with Distance Estimation
Yannick Wunderle, Stephan Klotz, Eike Lyczkowski, Sören Hohmanna
Motion Execution Algorithm for Smooth Dynamic Replanning in HRC
Federico Parma, Manuel Beschi, Cesare Tonola
User-Tailored Fuzzy-Based Grasp Strength Regulation in Myocontrolled Robotic Hands
Mohammad Sheikhsamad, Roberto Meattini, Davide Chiaravalli, Raul Suarez, Jan Rosell, Gianluca Palli
On Using Neural Networks to Learn Safety Speed Reduction in Human-Robot Collaboration: A Comparative Analysis
Marco Faroni, Alessio Spanò, Andrea Zanchettin, Paolo Rocco
Workshop 3
WS03 - Advancing Industrial Automation: Best Practices and Innovations with IEC 61499
Introduction of UniversalAutomation.org
Greg Boucaud - UniversalAutomation.org
Use of IEC 61499 in Open Process Automation Systems Application
Pranay Jhunjhunwala - Aalto
Building an Open-Source Infrastructure for IEC 61499 Research, Technology Evaluation, and Standartization - 18 Years of Experience with Eclipse 4diac
Bianca Wiesmayr - JKU
Effective Engineering Practices for IEC 61499: Bridging Theory and Implementation
Federico Fumagalli - J&W
Vendor-Agnostic Commissioning - CloViC
Mikhail Kolesnikov - CloViC
Combining Event-Based Control with IEC 61499: A novel approach to industrial automation
Oscar Miguel Escrig – University Jaume I
Cyberphysical Systems with the IEC 61499 standard: A modular framework for Plug & Produce production
Pascal Pesendorfer - Schneider Electric
Enabling Plug & Produce and Low-Code Engineering with IEC 61499 and Schneider Electric’s EcoStruxure Automation Expert Platform
Hilmo Dzafic - Schneider Electric
IEC 61499 at Kongsberg Maritime
Merethe Gotaas & Corrine Ralston - Kongsberg Maritime
Workshop 4
WS04 - 7th DIVERSE: Advanced Technologies in Vehicular Systems
Contract-Based Resource-Aware Orchestration
Dakshina Dasari, Corporate Research, Robert Bosch GmBH, Germany
Product Cybersecurity
Elena Lisova, Volvo Construction Equipment, Sweden
Applying Cybersecurity within Loader Cranes Control Systems
Hans Lyngbäck, HIAB, Sweden
Incremental and ResilientTime-Aware Shaper Configuration for TSN
Rafik Henia, Thales, France
Combining Model Checking and Network Calculus for a Tighter WCTT Analysis of Real-Time Switched Ethernet Networks
Jean-Luc Scharbarg, University of Toulous, France
TSN-5G Integration for Real-Time Remote Vehicle Control: Challenges and Implementation
Zenepe Satka, Mälardalen University, Sweden
CAN XL: From Inception to Cutting-Edge Standardization
Gianluca Cena, National Research Council of Italy
Bringing Model-Driven Software Architectures and Formal Analysis Together: The Rubus Approach
John Lundbäck, Arcticus System, Sweden
Logical Execution Time (LET) Task Chains: Analysis, Optimization and RTOS Support
Matthias Becker, KTH Royal Institute of Technology, Sweden
Taming the Complexity Beast: Is Our toobox Rich Enough?
Mischa Möstl, Technische Universität Braunschweig, Germany
FPGA-based Acceleration for Next Generation Autonomous Vehicles
Gianluca Brilli, University of Modena and Reggio Emilia, Italy
Secure fault diagnosis of embedded devices
Björn Leander, ABB, Sweden
AMPERE: Multi-Criteria Optimization of Real-Time DAGs on Heterogeneous Hardware.
Tommaso Cucinotta, Scuola Superiore Sant’Anna (SSSA) in Pisa, Italy
Workshop 6
WS06 - How to make collaborative robots more collaborative for real environments
Overview of ROBOTA-SUDOE project
Tânia Mendes, CENTIMFE
Automation in fruit industry and computer vision in fruit handling
Filipe Costa, Cerfundão; Rodrigo Antunes, UBI
Self-sensing soft grippers with TPU
Luan Lang, UBI
Automation and perception and control of collaborative robots in the toy sector
Diego Sánchez, AIJU and integrator at JUEMA
Automation in the meat use-case and learning by demonstration in meat+toy Sectors
Antía Vázquez, CeTeCa; Saltanat Seitzhan, USC
Force control for human assistance in industrial applications
Alexis Babut, CA INP
Robot technologies in the meat Industry
Franck Stephan, ADIV
Force control for human rehabilitation
Carlos Alberto Jara Bravo, HURO-UA
Towards robotics footwear and textile remanufacturing
José Francisco Gómez,INESCOP-REMAIN
Workshop 7
WS07 - Human-Centric IoE Solutions Driving the Transition to Industry 5.0
Modular Digital Twin for Human Activity Simulation based on Finite-State Machines
Tullio Facchinetti, Antonino Nocera
A Lightweight CNN-Based Solution for Inertial Gesture Recognition on Tiny Edge Devices
Marco Esposito, Sara Raggiunto, Paolo Napoletano, Alberto Belli, Monica Marconi Sciarroni, Emanuele Storti, Paola Pierleoni
Securing IoE Environments with Semantic Data Stream Analysis and Behavioral Fingerprinting
Marco Arazzi, Monica Marconi Sciarroni, Serena Nicolazzo, Antonino Nocera, Emanuele Storti
An IoE-based Framework Supporting Human-Centric Industry
Marco Arazzi, Alberto Belli, Claudio Cusano, Marco Esposito, Tullio Facchinetti, Marco Ferretti, Gabriele Galimberti, Monica Marconi Sciarroni, Paolo Napoletano, Antonino Nocera, Paola Pierleoni, Emanuele Storti, Domenico Ursino
A Privacy-Preserving and Biometric-Aware Tasks Reallocation Strategy in Industry 5.0
Marco Arazzi, Mert Cihangiroglu, Serena Nicolazzo, Antonino Nocera
Full Conference Program
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