Inhaltstyp
Kategorien
-
Digitalization as a driving factor: LKR coordinates new COMET project "ProMetHeus"
new production possibilities. In addition to the LKR, the AIT is also represented by the Center for Vision, Automation and Control. The aim of ProMetHeus is to achieve a holistic integration of digital tools [...] for Non Destructive Testing GmbH (RECENDT) AIT Austrian Institute of Technology GmbH, Center for Vision, Automation and Control FH OÖ Forschungs & Entwicklungs GmbH RISC Software GmbH 4a engineering
-
Adaptive current control method for solenoid valves
controller parameters is required. The researchers around Tobias Glück and Andreas Kugi (both Center for Vision, Automation & Control) present an adaptive and high-performance current control method for solenoid
-
Photonics Goes Bim.
Reason enough to celebrate it. On 13th of May the Centers for Digital Safety & Security and Vision, Automation and Control furnished one of three cars of Vienna’s historic tramway in a joint endeavor
-
MARIA HAIDER AND PAULINE MEYER-HEYE represented AIT @ FIT INFO-DAYS
how diverse science and technology can be. Pauline Meyer-Heye and Maria Haider from the Center for Vision, Automation & Control gave insights into their research work at the AIT Austrian Institute
-
How robots handle fabrics and foils
University of Technology Vienna (TU Wien), Tobias Glück and Andreas Kugi from the AIT Center for Vision, Automation & Control and Christian Hartl-Nesic from the Automation and Control Institute (ACIN
-
AI & MACHINE LEARNING
- /en/research-topics/ai-machine-learning
664 88904331 maximilian.liebetreu(at)ait.ac.at To the Center for Vision, Automation & Control To the Research Groups High-Performance Vision Systems Assistive & Autonomous Systems Complex Dynamical Systems [...] self-supervised learning forces models to learn embeddings on labelled data. Successful examples include vision transformers and graph neural networks (geometric cue learning, deep geometric learning, knowledge
-
How autonomous robots cooperate with humans
an optimal interaction of robots with humans. Matthias.Scheutz@tufts.edu Center for Vision, Automation & Control
-
SYSTEM DESIGN, MODELLING & IDENTIFICATION
- /en/research-topics/system-design-modelling-identification
+43 664 88256087 tobias.glueck(at)ait.ac.at To the Center for Vision, Automation & Control To the Research Gropus High-Performance Vision Systems Assistive & Autonomous Systems Complex Dynamical Systems
-
HIGHLY ACCURATE MOBILE MAPPING DATA BY EMPLOYING INNOVATIVE IMAGE REGISTRATION ALGORITHM
Photogrammetry, UK. At the end of 2019 he joined AIT and now contributes his expertise to the Center for Vision, Automation & Control. His research in the field of Assistive and Autonomous Systems includes
-
Detecting cracks in stainless steel
illumination angles In cooperation with voestalpine BÖHLER Edelstahl, the AIT experts from the Center for Vision, Automation & Control (VAC) have succeeded in developing an innovative testing method and bringing
-
ELEVATING POSITIONING AND NAVIGATION IN CITY-BASED CONSUMER APPS
explore the full potential of AAA-PNT In collaboration with six European partners, the AIT Center for Vision, Automation & Control (AIT VAC, project leader) and the AIT Center for Technology Experience
-
AIT Center for Vision Automation & Control gewinnt den Staatspreis Mobilität 2019
Beim Staatspreis Mobilität 2019 gewinnt das AIT Projekt „COMPAS“, das gemeinsam mit Bombardier und Mission Embedded eingereicht wurde, in der Kategorie „Forschen. Entwickeln. Neue Wege Weisen.“ Der S
-
Geodatabases in robotic applications
Autonomous systems need comprehensive information about their environment in order to operate safely and efficiently. In addition to sensor data collected and processed by the system itself, static o