Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026
Frontmatter
Keynote Talks
2026-06-18 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 1-4
AI in Medicine
Workshop on Artificial Intelligence in Medicine
Ahmed Alshenoudy, Philipp Moser, Patrick Rockenschaub, Erich Kobler and Hrvoje Bogunovic
2026-06-18 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 6-7
Towards Real-Time Simulations Of Induced Electric Fields During Brain Stimulation Using Conditioned Transformers
Fabian Greifeneder, Dominik Freinberger and Philipp Moser
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 8-11
Disentangling Overfitting From Biological Signal: A Responsible AI Framework for IBS Analysis
Nathanya Satriani
2026-06-22 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 12-16
CavitOmiX: A Proteome-Wide AI Framework for Structure-Based Off-Target Prediction, Drug Repurposing, and Antiviral Discovery
Michael Hetmann, Lena Parigger, Tobias Schopper, Markus Fleck, Georg Steinkellner and Christian C. Gruber
2026-06-22 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 17-20
Generating Realistic and Accurate SMPL Body Shapes from Anthropometric Measurements
Maja Nikolic, Sophie Kaltenleithner, Ulrich Bodenhofer and Michael Giretzlehner
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 21-25
Quantifying and Mitigating Sycophantic Bias in Medical Diagnostic LLMs
Nathanya Satriani
2026-06-22 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 26-30
Flow Matching for Conditional MRI-CT and CBCT-CT Image Synthesis
Arnela Hadzic, Simon Johannes Joham and Martin Urschler
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 31-36
Evidential Deep Learning for Missing Boundary Detection in Topologically Constrained OCT Layer Segmentation
Botond Fazekas and Hrvoje Bogunovic
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 37-42
Evaluation of Anatomical Shape Priors in Deep Learning-Based Cardiac Multi-Compartment Segmentation
Michael Hudler, Franz Thaler and Martin Urschler
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 43-47
LigForge: Physics-Informed Diffusion for Structure-Based Drug Design
Tobias Schopper, Michael Hetmann, Lena Parigger, Chiara Gasbarri, Christian C. Gruber and Georg Steinkellner
2026-06-22 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 48-49
Forecasting individual survival in irregularly sampled patient trajectories
Daniel Sobotka, Nino Bogveradze, Lucian Beer, Philipp Seeböck, Helmut Prosch and Georg Langs
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 50-54
Multimodal Contrastive Learning for Alzheimer’s Disease Prediction in Imaging Genetics
Jonas Fallmann and Erich Kobler
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 55-60
xLSTM for Irregular Multivariate Clinical Time-Series Forecasting
Laura Legat and Erich Kobler
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 61-66
Austrian Robotics Workshop
Austrian RoboticsWorkshop – Tactile Robotics
Thomas Thurner and Wilfried Kubinger
2026-06-23 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 68-68
KINESIS: A Schema-Driven Motion Capturing, Management and Augmentation Framework
Hutter Günther
2026-06-23 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 69-72
Towards Recipe-driven Automation Concepts for Large-scale Food Production
Moritz Dorfer and Michael Rathmair
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 73-76
Building a ROS 2 - Isaac Sim Framework for Dual Arm Manipulation of Rigid Objects and Textiles
Jonas Gschnell, Alexander Kitzinger, Hubert Gattringer and Andreas Müller
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 77-80
Embedded Haptic Control for Robotic Grasping using a Tactile Sensor System
Thomas Kammerhofer and Thomas Thurner
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 81-88
Peak Force Evaluation for an Active Contact Flange
Bernhard Rameder, Hubert Gattringer, Andreas Müller and Ronald Naderer
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 89-92
Multi-Modal Garment Sorting and Classification Combining Tactile and Visual Sensing
Serkan Ergun, Tobias Mitterer and Hubert Zangl
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 93-102
Applied Vision
Workshop on Applied Vision (AV 2026)
Harald Ganster, Florian Kleber, Roland Perko, Gernot Stübl and Martina Uray
2026-06-22 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 104-107
Obstacle Detection Pipeline using Monocular Depth Estimation in Mobile Robotics
Christian Schweighofer and Michael Zauner
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 108-113
AI-Based Optimization of Roadside Mowing Operations in Austria
Roland Perko, Stefanie Onsori-Wechtitsch, Helmut Neuschmied, Peter Schallauer, Katharina Hofer-Schmitz and Michaela Stolz
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 114-118
Synthetic Skeletal Pose Pre-training to Mitigate Data Scarcity in In-Cabin 2D-to-3D Pose Lifting
Thummanoon Kunanuntakij, Dominik Schörkhuber and Margrit Gelautz
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 119-124
Organ Level Representation Learning for Region Based Medical Image Retrieval
Donghwan Lee and Wooju Kim
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 125-134
Diffusion Edge Detection Of Texture-less Objects
Matvey Ivanov, Markus Vincze and Peter Hönig
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 135-144
Intelligent Augmentation Methods for Training Defect Detection on Circuit Boards
Olaf Kaehler, Werner Bailer and Georg Thallinger
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 145-153
Assessing Compressive Strength of Reclaimed Clay Bricks Using SWIR Hyperspectral Imaging and Deep Learning
Jean-Philippe Andreu, Maria Jernej, Maximilian Klammer and Benjamin Kromoser
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 154-158
GraspGen+HSR: Adapting Simulation-Trained 6-DoF Grasping to Real Service Robots Without Retraining
Alexander Dvorak, Michael Nowak, Tessa Pulli and Markus Vincze
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 159-168
Spot and Edge Feature Based Estimation of Point-Spread Functions for Image Deconvolution
Martin Welk
2026-06-25 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 169-179
Explainable AI for Efficient Hyperspectral Band Selection in Textile Recycling: A Score-CAM Approach
Achraf Guenounou, Harald Ganster and Jean-Philippe Andreu
2026-06-25 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 180-188
Fourier contrast optimization for occluded motion estimation
Ido Akov, Roman Pflugfelder and Daniel Cremers
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 189-193
Effect of polarization filters on hand vein sample image quality
Christof Kauba and Andreas Uhl
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 194-198
AI Certification, Fairness and Regulations
Editorial: AI Certification, Fairness and Regulations (CERT AI 2026)
Bernhard Nessler, Michal Lewandowski, Simon Schmid, Gregor Aichinger, Iana Kazeeva and Rania Wazir
2026-06-25 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 200-203
Stochastic Application Domain Definition for Functional Trustworthiness Certification of AI Systems
Simon Schmid, Barbara Brune, Alexander Aufreiter, Lukas Gruber, Kajetan Schweighofer, Xaver Stadlbauer, Thomas Doms and Bernhard Nessler
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 204-220
Conversational Agents in Multi-User Environments
Umut Tanriverdi, Tobias Halmdienst, Simon Schmid, Bernhard Nessler and Michal Lewandowski
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 221-234
Safety Driven Hardware and Control Architecture for Automated Surface Vessel Systems
Önder Hamamcıoğlu, Semih Bajrami, Viktor Komyshan, Gehan Dasanayake and Mathias Brandstötter
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 235-243
Anthropomorphic Terminology in Artificial Intelligence
Iana Kazeeva, Simon Schmid and Bernhard Nessler
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 244-253
Explainable Selection of Machine Learning Algorithms in Social Sciences
Dijana Oreski, Luka Katava and Alen Kisic
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 254-262
Digital Transformation of Agriculture and Animal Science
Workshop on Digital Transformation of Agriculture & Animal Science (DTAAS)
Sebastian Gruber, Mark A.M. Kramer, Peter Riegler-Nurscher and Peter M. Roth
2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 264-266
Visions-based detection of pain and nest-building behaviors in sows within commercial farrowing pens
Peter Helf and Maciej Oczak
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 267-272
Online adaptive path planning of UAVs for weed detection
Wolfgang Pitzl, Lukas Lachmann, Raphael Völker and Peter Riegler-Nurscher
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 273-277
Lightweight Classification of Canine Eye Diseases
Isselmou Abdarahmane and Peter M. Roth
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 278-281
Measuring the Specific Gravity of Urine of Dogs Using Digital Refractometers
Martina Jezik and Peter M. Roth
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 282-286
Interactive VetMap of Austria
Valentina Dolin, Gudrun Kinz, Martina Jezik, Mark A.M. Kramer and Peter M. Roth
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 287-291
Physics-Informed Machine Learning and Hybrid Modelling
AIRoV 2026 | Workshop on Physics-Informed Machine Learning and Hybrid Modeling (PhysicsML)
Bernhard C. Geiger, Manfred Mücke and Stefan Posch
2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 293-294
Introducing Monge-GPs: A new class of physics-informed Gaussian Processes (extended abstract)
Johanna Moser, Christopher Albert and Sascha Ranftl
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 295-298
Joint Bayesian Inference on Lagrangian Physics and Trajectories
Michael Obermayr and Robert Peharz
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 299-304
Stabilizing PINNs: A regularization scheme for PINN training to avoid unstable fixed points of dynamical systems
Miloš Babić, Franz Rohrhofer and Bernhard Geiger
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 305-313
Derivative-Enhanced Training for Data-efficient Surrogate Modeling
Paul Horvath, Marian Staggl and Stefan Posch
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 314-322
Towards a PIRL framework for efficient airflow diffuser design
Alfredo Lopez, Florian Sobieczky, Christopher Lackner, Matthias Hochsteger, Bernhard Scheichl, Helmuth Sobieczky and Christoph Feichtinger
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 323-328
Understanding the Role of Domain Knowledge in Bayesian Optimization under Small-Data Constraints
Bernd Schuscha, Franz Rohrhofer, Bernhard Geiger and Daniel Scheiber
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 329-332
Conceptual-Model-Guided Physics-Inspired Feature Engineering: A 3D-Printer Case Study
Martin Paczona
2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 333-337
Equayes - Democratizing Probabilistic Model Construction and Exploration with automatic Equation to Bayesian Model transformation
Christian Findenig and Manfred Mücke
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 338-342
RoboWork
Proceedings of the Robowork Workshop at AIROV 2026
Vedant Dave, Elmar Rueckert, Thomas Thurner, Siegfried Altmann and Yassine Elmanyari
2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 344-348
ZeroShop: Automated Metric Mesh Generation for Zero-Shot 6D Object Pose Estimation
Stefan Lechner, Philipp Ausserlechner and Markus Vincze
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 349-362
1D Profiles vs. Spectral Images: A Comparative Study of Machine Learning Models for Mineral and Rock Classification
Sai Puneeth Reddy Gottam, Martin Johannes Findl, Robert Galler, Klaus Philipp Sedlazeck and Elmar Rueckert
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 363-366
Spiking Neural Network Systems
SNNSys –Workshop on Spiking Neural Networks
Bernhard Moser, Michael Lunglmayr and Robert Legenstein
2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 368-369
Linearized Bregman Iterations for Sparse Spiking Neural Networks
Daniel Windhager, Michael Lunglmayr and Bernhard Moser
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 370-377
Recurrent versus parallelizable spiking neural networks: A comparative study
Alexander Mayr, Simon Hitzginger and Robert Legenstein
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 378-385
Effective Online SNN Training with One-Step Backpropagation
Saya Higuchi, Federico Corradi, Sander M. Bohté and Sebastian Otte
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 386-391
Probabilistic LIF Neurons Improve Learning in Recurrent Spiking Neural Networks
Sebastian Higuchi, Niels A. Kloosterman, Stefan Hallermann and Sebastian Otte
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 392-396
Working Memory in a Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays
Laurent Perrinet
2026-07-01 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 397-406
Semantic Scene Representations
Proceedings of the Semantic Scene Representations (SSR)Workshop at AIROV 2026
Christian Rauch, Linus Nwankwo, Shail Jadav and Jun Zhang
2026-07-01 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 408-413
Enhanced Environmental Context Encoding for Accurate Trajectory Prediction in Intralogistics
Alexander Prutsch and Horst Possegger
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 414-418
D²DINO: Dense Descriptors from DINO for Pixel‑Level Object Understanding
Paolo Sebeto, Jean-Baptiste Weibel, Christian Hartl-Nesic and Markus Vincze
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 419-428
Overcoming Nature: Perception for Autonomous Navigation in Dense Vegetation
Lukas Wimmer, Andre Koczka, Uros Petrovic and Gerald Steinbauer-Wagner
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 429-433