Industrial

AI

Artificial intelligence for innovative robotics and automation in production

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Dr.-Ing Muhammad Saeed

ARENA2036. e.V.

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Industrial AI

The Industrial AI research focus in ARENA2036 researches the use of artificial intelligence (AI) to optimize robotics and automation systems. Intelligent algorithms and machine learning are used to develop new solutions for adaptive production, safe human-robot interaction and autonomous decision-making. The aim is to make AI technologies usable for industrial applications and to exploit innovation potential

Thematic priorities within the research focus area

Adaptive robotics and automation

Human-robot interaction (HRI)

AI-based decision-making

Explainable AI for industrial applications

Objective

Projects in the Industrial AI research focus area drive the development of AI-supported automation solutions for industry. Our aim is to research innovative, efficient and safe AI technologies for production and to develop them in an application-oriented manner. The research field is aimed at companies, research institutions and start-ups that are interested in integrating AI into production processes. Industrial partners and scientific institutions are among the initiators.

Ongoing projects

Project	Description	Project page
AI-Matters	AI-MATTERS puts artificial intelligence (AI) at the heart of European manufacturing innovation and strives to integrate, optimize and make transformative AI technologies accessible, especially to Europe's small and medium-sized enterprises (SMEs), through extensive testing and experimentation.	Link
IntelliSim	Research into AI-supported robotic solutions for adaptive production.
Explainable AI for Industry	Development of explainable AI models to increase trust in automation systems.
AI Deployment - Roadmap for Intelligent Transformation	This guide supports our roadmap to drive AI-enabled transformation within ARENA2036 and its partner ecosystem. It reflects our internal efforts to identify, evaluate and prioritize AI opportunities in all workflows - from ideation and content creation to automation and data analysis.	Link