Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026

DOI: https://doi.org/10.34749/3061-1466.2026

Frontmatter

Imprint

Imprint

    2026-06-18 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • ii-ii

    Preface

    Preface

      2026-06-18 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • iii-iv

      Contents

      Contents

        2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • v-x

        Keynote Talks

        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

          Workshop on Artificial Intelligence in Medicine

          • Ahmed Alshenoudy
          • Philipp Moser
          • Patrick Rockenschaub
          • Erich Kobler
          • 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

          Towards Real-Time Simulations Of Induced Electric Fields During Brain Stimulation Using Conditioned Transformers

          • Fabian Greifeneder
          • Dominik Freinberger
          • 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

          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

          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
          • 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

          Generating Realistic and Accurate SMPL Body Shapes from Anthropometric Measurements

          • Maja Nikolic
          • Sophie Kaltenleithner
          • Ulrich Bodenhofer
          • 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

          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

          Flow Matching for Conditional MRI-CT and CBCT-CT Image Synthesis

          • Arnela Hadzic
          • Simon Johannes Joham
          • 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

          Evidential Deep Learning for Missing Boundary Detection in Topologically Constrained OCT Layer Segmentation

          • Botond Fazekas
          • 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

          Evaluation of Anatomical Shape Priors in Deep Learning-Based Cardiac Multi-Compartment Segmentation

          • Michael Hudler
          • Franz Thaler
          • 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

          LigForge: Physics-Informed Diffusion for Structure-Based Drug Design

          • Tobias Schopper
          • Michael Hetmann
          • Lena Parigger
          • Chiara Gasbarri
          • Christian C. Gruber
          • 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

          Forecasting individual survival in irregularly sampled patient trajectories

          • Daniel Sobotka
          • Nino Bogveradze
          • Lucian Beer
          • Philipp Seeböck
          • Helmut Prosch
          • 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

          Multimodal Contrastive Learning for Alzheimer’s Disease Prediction in Imaging Genetics

          • Jonas Fallmann
          • 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

          xLSTM for Irregular Multivariate Clinical Time-Series Forecasting

          • Laura Legat
          • 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

          Austrian RoboticsWorkshop – Tactile Robotics

          • Thomas Thurner
          • 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

          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

          Towards Recipe-driven Automation Concepts for Large-scale Food Production

          • Moritz Dorfer
          • 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

          Building a ROS 2 - Isaac Sim Framework for Dual Arm Manipulation of Rigid Objects and Textiles

          • Jonas Gschnell
          • Alexander Kitzinger
          • Hubert Gattringer
          • 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

          Embedded Haptic Control for Robotic Grasping using a Tactile Sensor System

          • Thomas Kammerhofer
          • 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

          Peak Force Evaluation for an Active Contact Flange

          • Bernhard Rameder
          • Hubert Gattringer
          • Andreas Müller
          • 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

          Multi-Modal Garment Sorting and Classification Combining Tactile and Visual Sensing

          • Serkan Ergun
          • Tobias Mitterer
          • 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)

          Workshop on Applied Vision (AV 2026)

          • Harald Ganster
          • Florian Kleber
          • Roland Perko
          • Gernot Stübl
          • 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

          Obstacle Detection Pipeline using Monocular Depth Estimation in Mobile Robotics

          • Christian Schweighofer
          • 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

          AI-Based Optimization of Roadside Mowing Operations in Austria

          • Roland Perko
          • Stefanie Onsori-Wechtitsch
          • Helmut Neuschmied
          • Peter Schallauer
          • Katharina Hofer-Schmitz
          • 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

          Synthetic Skeletal Pose Pre-training to Mitigate Data Scarcity in In-Cabin 2D-to-3D Pose Lifting

          • Thummanoon Kunanuntakij
          • Dominik Schörkhuber
          • 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

          Organ Level Representation Learning for Region Based Medical Image Retrieval

          • Donghwan Lee
          • 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

          Diffusion Edge Detection Of Texture-less Objects

          • Matvey Ivanov
          • Markus Vincze
          • 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

          Intelligent Augmentation Methods for Training Defect Detection on Circuit Boards

          • Olaf Kaehler
          • Werner Bailer
          • 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

          Assessing Compressive Strength of Reclaimed Clay Bricks Using SWIR Hyperspectral Imaging and Deep Learning

          • Jean-Philippe Andreu
          • Maria Jernej
          • Maximilian Klammer
          • 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

          GraspGen+HSR: Adapting Simulation-Trained 6-DoF Grasping to Real Service Robots Without Retraining

          • Alexander Dvorak
          • Michael Nowak
          • Tessa Pulli
          • 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

          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

          Explainable AI for Efficient Hyperspectral Band Selection in Textile Recycling: A Score-CAM Approach

          • Achraf Guenounou
          • Harald Ganster
          • 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

          Fourier contrast optimization for occluded motion estimation

          • Ido Akov
          • Roman Pflugfelder
          • 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

          Effect of polarization filters on hand vein sample image quality

          • Christof Kauba
          • 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)

          Editorial: AI Certification, Fairness and Regulations (CERT AI 2026)

          • Bernhard Nessler
          • Michal Lewandowski
          • Simon Schmid
          • Gregor Aichinger
          • Iana Kazeeva
          • 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

          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
          • Bernhard Nessler

          2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 204-220

          Conversational Agents in Multi-User Environments

          Conversational Agents in Multi-User Environments

          • Umut Tanriverdi
          • Tobias Halmdienst
          • Simon Schmid
          • Bernhard Nessler
          • 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

          Safety Driven Hardware and Control Architecture for Automated Surface Vessel Systems

          • Önder Hamamcıoğlu
          • Semih Bajrami
          • Viktor Komyshan
          • Gehan Dasanayake
          • Mathias Brandstötter

          2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 235-243

          Anthropomorphic Terminology in Artificial Intelligence

          Anthropomorphic Terminology in Artificial Intelligence

          • Iana Kazeeva
          • Simon Schmid
          • 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

          Explainable Selection of Machine Learning Algorithms in Social Sciences

          • Dijana Oreski
          • Luka Katava
          • 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)

          Workshop on Digital Transformation of Agriculture & Animal Science (DTAAS)

          • Sebastian Gruber
          • Mark A.M. Kramer
          • Peter Riegler-Nurscher
          • Peter M. Roth

          2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 264-266

          Vision-based detection of pain and nest-building behaviors in sows within commercial farrowing pens

          Vision-based detection of pain and nest-building behaviors in sows within commercial farrowing pens

          • Peter Helf
          • 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

          Online adaptive path planning of UAVs for weed detection

          • Wolfgang Pitzl
          • Lukas Lachmann
          • Raphael Völker
          • 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

          Lightweight Classification of Canine Eye Diseases

          • Isselmou Abdarahmane
          • 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

          Measuring the Specific Gravity of Urine of Dogs Using Digital Refractometers

          • Martina Jezik
          • Peter M. Roth

          2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 282-286

          Interactive VetMap of Austria

          Interactive VetMap of Austria

          • Valentina Dolin
          • Gudrun Kinz
          • Martina Jezik
          • Mark A.M. Kramer
          • 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)

          AIRoV 2026 | Workshop on Physics-Informed Machine Learning and Hybrid Modeling (PhysicsML)

          • Bernhard C. Geiger
          • Manfred Mücke
          • 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)

          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

          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

          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

          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

          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

          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

          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

          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

          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

          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

          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

          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

          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

          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

          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

          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

          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

          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

          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

          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

          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

          Backmatter

          Awards 2025

          Awards 2025

            2026-07-02 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 434-434

            Index of authors

            Index of authors

              2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 435-437