Industrial
AI
Artificial intelligence for innovative robotics and automation in production
Your contact person
Dr.-Ing. Muhammad Saeed
Research Coordinator ARENA2036. e.V.
Industrial AI
The Industrial AI research focus in ARENA2036 investigates 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
AI turns robots into co-workers and companions — agile, adaptive, and aware. They learn from us, work with us, and help where humans can't go
Quantum computing unlocks new frontiers for AI problems too complex for classical machines. It's the engine behind next-gen simulations, optimizations, and models
AI is reshaping medicine—diagnosing faster, personalizing treatments, and predicting risks before symptoms show. It's not just support; it's becoming a second opinion that never sleeps
Ultra-fast, ultra-reliable networks give AI real-time superpowers. This is the backbone for autonomous driving, smart factories, and immersive digital worlds
AI-powered digital twins mirror the physical world to test ideas before they're built. They turn data into foresight—predicting failures, optimizing systems, and reducing costs
When real data is scarce or sensitive, synthetic data fills the void—safe, scalable, and bias-tuned. It fuels better models without compromising privacy
AI is a catalyst for climate action—cutting emissions, optimizing resources, and designing for circularity. It's not just smart tech, it's survival tech.
When AI makes decisions, we deserve to know why. Explainable systems build confidence and make AI safe to use in law, healthcare, and finance. Europe leads with frameworks that protect rights while enabling innovation
Europe needs language AI that speaks all its tongues—secure, sovereign, and socially aware. From multilingual chatbots to legal AI, it starts with diverse datasets
AI learns like humans—through feedback, trial, and reward. From robots to energy grids, it adapts and improves in real time without needing a script
From self-optimizing factories to autonomous fleets, AI drives efficiency, flexibility, and resilience. It transforms how goods move and how things are made—with speed, precision, and data at the core
AI and supercomputers form a powerhouse—solving massive simulations, accelerating scientific discovery, and crunching petabytes of data in real time
With vision, precision, and learning, AI inspects products faster and better—catching defects before they cost time or trust
In massive, high-throughput gigafactories, AI coordinates machines, people, and logistics—boosting uptime, output, and flexibility at scale
In complex, simulation-driven engineering environments, AI accelerates design cycles, optimizes simulations, and streamlines decision-making—enhancing accuracy, efficiency, and innovation at scale
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.