With the Fraunhofer IKS Playground, the institute offers access to experimental prototypes and innovative concepts from cutting-edge research. The Fraunhofer IKS Playground invites you to learn about new approaches, experiment with our prototypes, and test ideas freely.
Visit the Fraunhofer IKS Playground and immerse yourself in the research approaches and solutions of Fraunhofer IKS!
If you have any questions or require further information, please do not hesitate to contact us. We also greatly appreciate your feedback.
And, of course, we will support you in applying our approaches in your company.
The Fraunhofer IKS Playground is currently launching with four research prototypes. But development continues. We are currently working on further concepts and prototypes, which you will soon be able to experience on the Fraunhofer IKS Playground.
Here we present the prototypes and concepts currently available:
The Fuzzy Cause Tree (FCT) allows you to analyze cause-and-effect relationships between triggering conditions and system failures with greater precision, especially in the face of uncertainties. The Fuzzy Cause Tree (FCT) is an innovative approach developed by Fraunhofer IKS that significantly reduces risks and improves the safety of the intended functionality (SOTIF).
The Fuzzy Cause Tree method uses the principles of fuzzy logic to manage the complexity of real-world systems. Unlike traditional logic, which is limited to absolute true or false values, fuzzy logic allows for a differentiated assessment of truth values on a spectrum. This makes it possible to capture uncertainties and vague conditions more effectively and make smarter decisions.
The Fuzzy Cause Tree offers a flexible and intuitive approach to modeling complex causal relationships that goes beyond the limitations of conventional methods. It enables a better understanding of risks and promotes informed decisions in safety-critical systems, especially in the automotive industry.
Robuscope, an application developed by Fraunhofer IKS, allows you to easily evaluate the reliability of your AI models. With just one click, you can gain valuable insights into the robustness and performance of your AI systems.
Robuscope is a self-service platform that answers the question: "Can I trust my AI?" Robuscope provides you with detailed information on potential improvements to ensure that your AI models are reliable, efficient, and ready for use in safety-critical applications.
With Robuscope, the days of AI black boxes are over. Robuscope enables you to address potential issues early on and increase the trustworthiness of your AI applications. This allows you to minimize risks and maximize performance.
The Fraunhofer IKS Safety Assistant is an innovative front-end solution that optimizes safety engineering tasks through the use of generative AI (GenAI). Given the increasing complexity of software development for safety-critical systems, AI-powered assistants can provide support in overcoming these challenges.
The Safety Assistant leverages the capabilities of large language models to bridge the gap between technological progress and safety assurance. To do this, it automates essential aspects of the safety engineering workflow, thereby changing the approach to safety engineering.
The Fraunhofer IKS Safety Assistant enables you to master the complexity of software development for safety-critical systems. This allows you to bridge the gap between innovation and safety.
With the Fraunhofer IKS FAST Framework, you can effectively and efficiently handle decision-making tasks driven by visual information such as quality inspections or medical diagnoses – even when only limited data is available.
FAST stands for "Feedback-guided Automation of Sub-tasks." The framework improves decision-making through the use of advanced automation techniques. To do this, FAST identifies sub-tasks that can be automated, while the remaining more complex tasks are delegated to experts.
The FAST framework enables increased operational efficiency, reduced errors, and improved overall productivity by combining the strengths of automation with human expertise. This hybrid approach not only speeds up decision-making but also ensures high-quality results.
With Fraunhofer IKS's AS-PHALT proof of concept, you can use the power of AI-driven large language models (LLMs) to perform hazard analysis and risk assessment (HARA). This enables you to use resources more efficiently and improve the reliability of safety assessments.
AS-PHALT stands for “Automation Systems – Pro Human Assistant LLM Tool.” Using the example of hazard analysis and risk assessment, we illustrate how AI can help identify and evaluate hazards through an interactive, user-friendly interface. The concept aims to optimize the hazard analysis process through innovative automation techniques.
The AS-PHALT concept makes it possible to increase efficiency in safety technology and reduce the complexity of safety assessments in automated applications. The use of generative AI makes safety assessment more agile and innovative.
Fraunhofer Institute for Cognitive Systems IKS