Making Industries Pro²Future
Empowering Humans with Cognified and Sustainable Products and Production Systems
Als COMET-Kompetenzzentrum forschen wir an widerstandsfähigen, energieeffizienten und menschenzentrierten Lösungen, die den industriellen Alltag smarter, sicherer und nachhaltiger machen. Durch starke Partnerschaften mit Industrie und Wissenschaft, sowie einem klaren Fokus auf Wissens- und Technologietransfer gestalten wir den Weg in eine kognifizierte, nachhaltige Zukunft der Produktion.
Aktuelles aus dem Zentrum
Neuigkeiten aus Forschung und Innovation
Aktuelle News von Pro²Future: Projekte, Auszeichnungen, Konferenzen und Einblicke in unsere Forschung in Linz und Graz. Erfahren Sie, wie wir die Industrie von heute und morgen, KI und kognitive Systeme gestalten.
Wie können wir zusammenarbeiten?
Wir bieten ein Eco-System für angewandte Forschung und Innovation.
Von gemeinsamer Projektarbeit, wissenschaftlichem Austausch und Forschungsaufenthalten bis hin zur Betreuung wissenschaftlicher Arbeit mit internationalen Universitäten.
Angewandte Forschung an industriellen Themen; Gemeinsame Arbeit von der Idee zur praktischen Umsetzung über den gesamten Produktlebenszyklus hinweg.
Wir setzen auf starke Partnerschaften für regionale Innovationskraft und internationalen Erfolg sowie Ausbildung und Förderung von Talenten.
Wir bieten ein ideales Umfeld für gemeinsame partnerschaftliche Projekte (Industrie, KMUs, Startups, Universitäten, Forschungseinrichtungen) und anwendungsbasierte Lösungen für Mission-oriented Forschungsvorhaben und Innovationen.
Forschung mit Wirkung - deine Karriere bei Pro²Future
Du willst nicht nur forschen, sondern mit deiner Arbeit echten Mehrwert schaffen? An der Schnittstelle von Wissenschaft und Industrie arbeitest du bei Pro²Future an zukunftsorientierten Themen wie Künstlicher Intelligenz, Digitalisierung und nachhaltiger Produktion. Gemeinsam mit führenden Industriepartnern entwickelst du datengetriebene Lösungen, testest innovative Algorithmen und erhältst direktes Feedback aus der Praxis. Egal ob Mensch-Maschine-Interaktion, smarte Produkte oder Prozessoptimierung – bei uns treibst du echte Innovation voran.
Ob Dissertation, Praktikum oder wissenschaftliche Mitarbeit – Wir bieten dir herausfordernde Projekte, flexible Strukturen und ein inspirierendes Forschungsumfeld, in dem deine Ideen wirken.
Über die Pro2Future GmbH
Pro²Future arbeitet an den Zielen und Ergebnissen der digitalen Transformation und forscht für die industrielle Umsetzung in der Zeit danach. Als österreichisches, außeruniversitäres COMET-Forschungszentrum mit Standorten in Linz und Graz arbeiten wir an der nächsten Generation kognitiver Produkte und Produktionssysteme.
Dabei lautet unsere Mission:
Industrien kognifizieren – durch die Entwicklung von widerstandsfähigen, energieeffizienten und menschenzentrierten Lösungen, die Herausforderungen des Alltags direkt adressieren.
Weitere Informationen finden Sie unter:
Projekte
Inhalte sind nur auf Englisch verfügbar.

CoSma
Predicting quality in production systems is an open field of research, especially for discontinuous production like assembly. In manufacturing of…
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Enhance UWB
The rapid digitalization across all industrial sectors has fostered an increased need for connectivity in heterogenous application environments. As a…
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KAL-GISS
To achieve technological advancements in production machines, gaining a comprehensive understanding of their inherent processes is crucial. Data analytics plays…
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KInd
Austrian Small and Medium-sized Enterprises (SMEs) exhibit a mid-range performance within the European Union regarding product and process innovations. This…
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E-MANAGER
To reduce CO2 emissions, besides the automotive industry, manufacturing industries are increasingly under pressure to optimize processes and procedures for…
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Simatic Failsafe 4.0
The proliferation of industrial monitoring and control systems has led to the generation of a huge amount of data. It…
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ACTION II
The complexity and demands of assembly tasks in production have been found to increase cognitive load in assembly workers. This…
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TUNSPEKT
In the D.A.CH Transport Infrastructure Call 2024, topic 2 “Automated condition recording and damage detection in road tunnels” will be…
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AI2Human
The technological revolution is rapidly transforming the work environment, subjecting workers to new challenges, such as collaborating with highly efficient…
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CORVETTE 2
The CORVETTE 2 project advances the cognitive collection and processing of vehicle and environmental data to enable real-time detection and…
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QA_HEdge-2
The adoption of automation, connectivity, and data analysis in data-driven industries and shop floors has resulted in improved efficiency, productivity,…
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TrustInLLM
Modern Society increasingly relies on complex digital systems. It is crucial that such systems are trustworthy when Artificial Intelligence is…
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SmartCom
To tailor the property profiles for their respective applications, almost all plastic materials undergo a compounding step as a part…
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EPCOS 1
The predictive maintenance systems are built upon is a clear definition of defects and the corresponding approaches to address them.…
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APECGR
This project researched user experience design based on contextual triggers in the welding domain. Usually in industries, good user experience…
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CompEAS-BSW II
Embedded systems in vehicles were traditionally implemented in a strictly static manner, where the integration of functions was largely manual…
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3D-RECON III
The focus of this research initiative is to advance the field of multi-view stereo (MVS) by addressing key challenges and…
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AI-Gran 2
The manufacture of plastic products is closely related to the use of plastic pellets. There are numerous influencing factors in…
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SUPRA-2
The project “SUPRA-2” is motivated by company partner AVL. Sustainable production and assembly (SUPRA) are critical aspects in the development…
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3D-Recon VI
The primary focus of this research project is deeply rooted in the domain of Structure from Motion (SfM). SfM is…
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RTEL
RTEL is an innovative Rail Track Error Learning AI system where in collaboration with System 7, we will analyze railroad…
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LineTACT II
To participate in a highly competitive market, manufacturing companies today offer a wide range of product variants accommodating the increasing…
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Digital twins are virtual replicas of physical objects or processes that are synchronized with the real thing and kept up-to-date…
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Fischer4You2
Fischer4You2 aims to assess recreational alpine skiers to find their skill level of skiing, therefore providing them with an appropriate…
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REWAI
The REWAI project aims to enhance sustainability through cognitive decision-making, utilizing explainable AI techniques to augment human intelligence with machine…
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AIDE
This project focused on developing and evaluating AI-based approaches to support the diagnosis and risk prediction of diseases, using publicly…
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CORVETTE
The CORVETTE project aims to establish a robust software infrastructure for cognitive vehicle fleet monitoring, enabling comprehensive datadriven services. The…
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X-AMINOR
The current developments in the energy system pose new challenges to grid operators, as the increased integration of renewables and…
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CompEAS-BSW
Embedded systems for vehicles are still implemented in a strictly static way: The individual functions are first implemented and tested…
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The project MFP II 4.2.3‐2 Adaptive Smart Production 2 (ASP 2), deals with two use‐cases: fuel‐cell component assembly and high‐speed…
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StreamingAI
StreamingAI is a basic research project with the aim of raising “perception” in the sense of artificial intelligence in federated…
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DERELE
Machine learning-based detection of geometric shapes has emerged as a rapidly expanding research field, with significant attention currently directed towards…
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PREMAC
The efficiency and safety of heavy industries depend significantly on crane systems, making the condition of critical components, such as…
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Automatic optical inspection (AOI) in the semiconductor industry is considered an extremely important and demanding task for detecting significant errors…
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DEVINE
In the dynamic landscape of modern industry, the integration of robotic systems into manufacturing processes has become increasingly ubiquitous. This…
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CAVL-SD
Whether manufacturing physical products or delivering virtual services, corporations engage in a variety of sub-processes which are interrelated both within…
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3D-RECON I
The aim of 3D-Recon is the research and development of methods for high quality 3D reconstruction from images in two…
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SUPRA-1
SUPRA refers to efficient and sustainable production strategies in batch production, namely peak power reduction. In it, – existing KPIs…
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A2PS
This MFP investigates models, architectures, techniques, and algorithms for increasing the flexibility and adaptability of cyber-physical production systems, specifically here…
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GAP
Human Activity Recognition (HAR) holds immense significance in computer vision, offering benefits in diverse scenarios. In industrial settings, manufacturing assembly…
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ConMon
The modern industry machines are endowed with multiple sensors producing huge amount of data. This also applies for automotive engine…
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EBRAIN Ensembles
Neuroscience provides a rich source of inspiration for new types of algorithms and architectures, independent of and/or complementary to the…
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VAPS
The objective of the project is to develop a prototype for an online visual analytics application. To achieve this goal,…
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SmartCoEx
An important process for the production of plastic products such as packaging, pipes, etc. is the extrusion process. In this…
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SmartWell
Corrugated pipes provide both higher stiffness and higher flexibility while simultaneously requiring less material than rigid pipes. Due to rising…
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The strategic project “Gender and Diversity Considerations for Responsible Research beyond AI Technology”, in short “GenCon” was intended to raise…
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ZEWAS
The Perfect Welding division of Fronius International offers welding devices and services to customers on five continents. Data analytics and…
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DPA_inklusive
The project "DPA_inklusive" focused on the development, implementation, and evaluation of Digital Personal Assistants (DPAs) in selected workplaces at Team…
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VERICOMP
The strategic project VERICOMP successfully addressed the central challenge of modern embedded systems: creating architectures that are both highly flexible…
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ShuttleTrack
The ShuttleTrack project dived into technology-agnostic localization systems for intralogistics shuttles, addressing the critical need for precise and reliable positioning…
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CSG
Due to the ongoing integration of distributed energy resources such as domestic photovoltaics into the existing distribution grid, conventional –…
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AI-Flight
In the last decade, drones are showing a great potential as data acquisition platforms, which can support industrial systems in…
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The rising share of e-mobility in the transport sector motivates this project. Electric vehicles, whether battery or hydrogen driven, are…
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VIVARIUM
Monitoring multivariate sensor data in automated welding can be critical for ensuring product quality. However, gaining actionable insights from data…
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SERAM
The increase in large and complicated data sets across various industries has led to a growing need for data analytics…
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P2D2
The P2D2 project is dedicated to advancing sustainable manufacturing by revolutionizing quality checks. Traditional end-of-line testing, where only a few…
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E-Minds-1
The objective of this project is to provide techniques and toolchains that make it possible to train and deploy AI/ML…
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recAIcle
Waste contributes significantly to greenhouse gas emissions. As economic growth is the main driver for increased waste generation, a decrease…
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Blast furnace (BF) and electric arc furnace (EAF) are key processes in iron and steel production. The complex dynamics within…
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OnDaA
This project focuses on data analytics and visualisation for the continuous casting process in large-scale steel production. In modern steel…
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CEPS
The automotive industry is developing complex, interdisciplinary systems, containing a multitude of software and hardware components that have to work…
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CompEAS-HW
The execution of software has a significant impact on various runtime characteristics of the hardware. Software critically influences the energy…
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TWIN-SOLUTION
Due to the complexity of automation systems, extensive on-site engineering is required during installation, commissioning, and maintenance. Skilled engineers and…
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UNSUDET
This project aims to facilitate a harmonious collaboration between human expertise and AI advancements, acknowledging the growing integration of AI…
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