- Systems Engineering
AI in Practice – Robotics and Manufacturing
- Experts by your side
Why AI is becoming more important for manufacturing and robotics
ITQ supports companies in the application of artificial intelligence in robotics and manufacturing. Modern manufacturing systems generate large volumes of data from sensors, machine control systems, image processing systems and quality control processes. AI makes it possible to analyse this data in a targeted manner and use it to make intelligent decisions within the manufacturing process.
What is crucial here is not only the development of algorithms, but also the integration of AI into existing systems. This gives rise to solutions that improve production processes, enhance quality and enable systems to adapt flexibly to new requirements – both in engineering and during ongoing operations. These include AI-based image processing and adaptive robotics solutions that enable flexible and autonomous production.
Your benefits at a glance:
- More efficient production processes through data-driven decisions
- Automated analysis of large volumes of data from machinery and plant
- Improved quality assurance through intelligent analysis
- Optimisation of robotics and production processes
- Greater flexibility in production, right down to batch size 1
- The basis for intelligent and adaptive production systems
M.Sc. Marius Beller
Software Engineer
„AI is not an end in itself, but a tool for making processes more transparent and optimising them in a targeted manner.“
Let’s talk about your project
Your point of contact for AI applications will be happy to advise you on your specific enquiry.
Untapped potential for optimisation
Many companies have large amounts of production and machine data at their disposal, but this data is not being put to specific use.
This is precisely where AI comes into play: data is analysed in a structured manner and integrated into existing systems in a targeted way. This also includes the analysis of live image data for quality control, as well as the use of AI to make production processes more flexible. This makes it possible to improve processes, enhance quality and make data-driven decisions.
AI in Manufacturing & Robotics
Typical challenges within a company:
- Existing data is not used systematically
- The links between process and quality are unclear
- AI applications are difficult to integrate
- Lack of transparency regarding suitable use cases
- our expertise to help you achieve your goals
Services relating to AI in manufacturing and robotics
An overview of our services
- Analysis of machine, image and production data
- Identification of suitable AI use cases
- Development of machine learning models and AI algorithms
- Integration of AI into existing software and automation systems
- Optimisation of production processes using data-driven methods
Technological expertise
- Machine learning and data-driven algorithms
- AI integration into industrial systems
- Analysis of production and sensor data
- Intelligent quality and process analysis
- AI applications for robotics and automation
- From analysis to integration
Approach to AI projects in robotics and manufacturing
Project phases
Analysis of use cases
Analysis and processing of the data
Analysis of existing production and sensor data as a basis for AI models.
Development of AI models
Integration into existing systems
Optimisation & Further Development
Continuous improvement of the models and adaptation to new data and requirements.
AI in manufacturing: real-world examples
Further ITQ solutions
The services described form part of ITQ’s comprehensive service portfolio. ITQ combines technological expertise, a methodical approach and a deep understanding of processes to deliver sustainable solutions throughout the entire life cycle.
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