Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026
Physics-Informed Machine Learning and Hybrid Modelling
Introducing Monge-GPs: A new class of physics-informed Gaussian Processes (extended abstract)
- Johanna Moser
- Christopher Albert
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Gerald Steinbauer-Wagner
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 429-433