»Transformation: NOW & NEXT!« –
are you in?
Whether it is the automotive industry, the production industry, the construction industry or the healthcare sector – all industries are already undergoing a transformation that affects different levels of a company. That’s why our S-TEC Summit Meeting S-TEC Summit Meeting in November is themed »Transformation: NOW & NEXT!«. The aim is to shape this transformation together with you in a sustainable, intelligent and economic way.
We want to inspire you as a client for our work, show you new solutions and encourage you to walk part of the way into the future together with us. We connect people and promote joint dialogue. So we would like to invite you to be our guest at the S-TEC Summit Meeting.Dr.-Ing. Stephan Wilhelm, Head of Communication at Fraunhofer IAO
»Transformation: NOW & NEXT!«
During the half-day S-TEC summit meeting in November 2021, we will highlight and discuss currently significant and future-relevant transformation topics with experts.
Interactively experience sustainability knowledge!
The knowledge transfer platform WiTra offers interactive tools to access knowledge for sustainability and resource efficiency – free to use.
»10 Future Topics « – Launch of a new Social Media Post Series
The coalition agreement from the State of Baden-Württemberg addresses technologies of the future. In our new social media series “10 Future Topics”, researchers from Fraunhofer will provide insights into the research status of these innovations and explain, how implementations can succeed.
Study series »Learning Systems« of the AI Innovation Center
The AI Innovation Center »Learning Systems and Cognitive Robotics« provides insight into the potentials and practical applications of AI with the ten publications of the study series »Learning Systems«.
AI interactive: Review »Virtual Summit Meeting 2021«
»S-TEC is a lighthouse for the entire state.« We were particularly pleased with this praise from Baden-Württemberg’s Minister of Economic Affairs, Dr. Nicole Hoffmeister-Kraut. Beyond that, the Virtual S-TEC Summit Meeting was also a complete success.
Driving an efficient and sustainable economy
The Stuttgart Technology and Innovation Campus S-TEC brings companies together with scientific institutions at the Stuttgart location. This combining of competence, knowledge and experience gives innovation a boost. Here, the S-TEC centers enable systematic and cross-industry collaboration on innovative research focuses in various project formats. Driving innovation through cooperation between science and business – that is the objective of S-TEC.
Business Innovation Engineering Center
The Business Innovation Engineering Center (BIEC) advises and supports medium-sized enterprises in particular in mastering the digital transformation and optimally exploiting the opportunities of digitization for themselves.
AI Innovation Center »Learning Systems and Cognitive Robotics«
The AI Innovation Center »Learning Systems and Cognitive Robotics« provides new ways and methods in transfering artificial intelligence and machine learning into industrial solutions and processes.
Competence Center Biointelligence
The planned Competence Center Biointelligence aims to create sustainability by intelligently linking biological principles, organisms and components with technical systems.
Performance Center Mass Personalization Stuttgart
In the Performance Center, the Stuttgart Fraunhofer Institutes are researching processes and business models for a cost-efficient manufacturing of personalized products together with the University of Stuttgart and industry.
Center for Cyber Cognitive Intelligence
The Center for Cyber Cognitive Intelligence researches how applications can be implemented in the manufacturing industry using artificial intelligence and machine learning.
Center for Cyberphysical Systems
The Center for Cyberphysical Systems researches and develops applications in the field of cyberphysical systems, i.e. the integration of virtual and physical components in a common system.
Center for Digital Battery-Cell Manufacturing
The aim of the Center for Digital Battery-Cell Manufacturing is to make production processes more flexible for the industrial manufacture of battery-cells using Industry 4.0 technologies.
Center for Entrepreneurship and Intrapreneurship / de:hub
The de: hub future. industries or the Center for Entrepreneurship and Intrapreneurship networks corporates, SMEs, research and educational institutions with founders in the field of digitization.
Center for Frugal Products and Manufacturing Systems
The Center for Frugal Products and Manufacturing Systems supports and enables companies to develop cost-sensitive markets in global growth nations with robust and application-oriented solutions.
Center for Cognitive Robotics
In the Center for Cognitive Robotics, the artificial intelligence (AI) implemented in real applications is combined with low-data AI methods. The goal is the perception and ability to act of industrial and service robots.
Center for Lightweight Engineering
The object of the Center for Lightweight Engineering, which has been approved since December 2020, is the development and implementation of lightweight solutions for machine, plant and device construction.
Center for Ultraefficiency
The aim of the planned Center for Ultraefficiency is a holistic perspective to bring industrial production at the highest level in line with urban life and to minimize environmental pollution.
S-TEC drives forward future topics with a high technical innovation character and bundles them into thematic fields: From novel production processes and changing markets to digital transformation and business model development to resilience and sustainability.
Strong through cooperation
Strong through collaboration and knowledge transfer: The competencies are available. But innovative development only comes about when the different competencies collide and work together efficiently. In order for companies and scientific institutions to jointly drive forward future-oriented innovations, we find the necessary competencies and bring them together. In this way, we jointly strengthen the innovative power and resilient value creation at the science location in Stuttgart.
The collaboration with Fraunhofer IPA has been very helpful in prioritizing our ideas for data analysis of vibrations and deriving appropriate use cases from them. This has motivated us to make greater use of the potential of machine learning in addition to classical evaluation methods.Daniel Weiß, Testimonial from Kessler
The colleagues from Fraunhofer have developed an excellent overview of existing methods for quality assurance of neural networks in the context of the Quick Check. With their expertise, we hope to be able to take further steps in the direction of “Safe Artificial Intelligence”.Patrick Feth, Testimonial from SICK AG
As part of the Quick Check, Fraunhofer IPA developed promising initial approaches to solving our problem in a short time. A great added value resulted from the interdisciplinarity of the Fraunhofer IPA, which made it possible to approach our problem with expert knowledge from different disciplines.Steffen Cordes und Kirsten Prill, Testimonials from Witzenmann GmbH
Fraunhofer IPA presented us with impressive new methods through the Quick Check, which enables fast object localization without long learning times. Among the methods presented are promising approaches that can be implemented in industry.Dr.-Ing. Andreas Wolf, Testimonial from robomotion
The results of the Quick Check were very impressive and promising, despite the short project time. We see a great opportunity here to sustainably improve the reliability and significance of one of the most important tests (AOI) of our electronics production and to relieve the production employees by eliminating or reducing the manual post-testing. We would definitely like to further pursue this topic!Michael Auserwählt, Testimonial from Pilz GmbH & Co. KG
A common goal of Fraunhofer IPA and us is to make AI applicable and explainable. During the Quick Check, the IPA brought us one step closer to this goal with its competence and drive. It could already be shown in the short project time that not only the decision of neuronal networks is important, but also which image features lead to detect data manipulation and distortions. We hope to continue the productive collaboration.Alexander Balz und Alexander Windberger, Testimonials from IDS Imaging Development Systems GmbH
From the idea to the innovative result
Identification of project partners
Netzworking of the project partners
Accompaniment and implementation
We’re big on cooperation! You too can become part of our self-image and take advantage of our opportunities for cooperation.
Would you like to close knowledge gaps on a specific subject or find out about new trends in research? Then write a success story with us!
DigiBattPro 4.0 – BW: Digitalisierte Batterieproduktion 4.0
Industrielle Demontage von Batteriemodulen und E-Motoren (DeMoBat)
DAFF: Digitale Abbildung von Feuerwehrfahrzeugen
CPS-AP: Cloud-gestützte Applikationsverwaltung an manuellen Arbeitsplätzen
FuDaSi-CPS: Studie »Funktions- und Datensichere Cyberphysische Systeme«
NeuroCAD: Intelligentes CAD-Bauteile-Assessment
Optimale Trainingsdatenerzeugung zur automatischen Digitalisierung von 3D-Laserscannerdaten
Demonstrator, Exploring Project, Quick Check
KI-basierte Objektlageschätzung: Greifen von Objekten in nicht definierter Lage mit Robotern
Automatische optische Inspektion mit maschinellem Lernen
Machine Learning für smarte Sensoren (ML4SS)
Steigerung der Absolutgenauigkeit von Industrierobotern
Bestkombination von Bauteilen mit genetischen Algorithmen
Numbers and facts
>110 and 40
Quick Checks and Exploring Projects
45, 7 Mio.
Amount of funding