Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026
Preface
AI in Medicine
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 • 2-5
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 • 6-10
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 • 11-16
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 • 17-22
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 • 23-27
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 • 28-32
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 • 33-38
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 • 39-44
Applied Vision
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 • 46-51
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 • 52-56
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 • 57-62
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 • 63-72
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 • 73-82
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 • 83-91
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 • 92-96
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 • 97-106
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 • 107-111
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 • 112-116
Physics-Informed Machine Learning
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 • 118-121
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 • 122-127
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 • 128-136
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 • 137-145
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 • 146-151
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 • 152-155
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 • 156-160
Robot Learning for Real-World Applications
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 • 162-175
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 • 176-179
When to Trust the Teacher? Adaptive Coupling in Interactive Robot Learning
Nikolaus Feith and Elmar Rückert
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 180-183
Advanced Robotics Workshop
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 • 185-188
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 • 189-192
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 • 193-200
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 • 201-204
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 • 205-214
Safe and Smart Robotics
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 • 216-220
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 • 221-230
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 • 231-235
Spiking Neural Network Systems
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 • 237-244
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 • 245-252
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 • 253-258
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 • 259-263
Certification and Trustworthy AI
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 • 265-281
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 • 282-295
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 • 296-304
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 • 305-314
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 • 315-323
Digital Transformation in Animal and Agricultural Sciences
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 • 325-330
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 • 331-335