Robotics Lab

Robotics Lab

Flexible and intelligent production for small batches

Robotics Lab

To date, managing production systems has been a highly-complex task that calls for extensive expert knowledge. The Robotics Lab makes it possible to simplify this complexity through semantic descriptions and the interpretation of processes and products. To do that the lab focuses on creating a foundation for research and innovation in robotics-supported and knowledge-based automation solutions by integrating real industrial application scenarios and the latest academic findings into relevant demonstration platforms.

fortiss Robotic Lab
The lab environment demonstrates real use cases.

The demonstrators developed within the framework of the Robotics Lab represent an open platform for discussions and for jointly shaping the production systems of the future. The demonstrators also serve to evaluate and validate research results and disseminate them to a wide audience ranging from industry partners and academic institutes, to interested students. The activities focus on a knowledge-based systems engineering approach for robotics-supported cyber-physical production systems (CPPS), particularly research into ontology-based concepts for the semantic interoperability of production resources and knowledge-based autonomous production.

Using real application scenarios, the lab illustrates how the developed methods can satisfy the requirements of small-to-medium enterprise manufacturers (SMEs). This includes the required efficiency improvements during the design, configuration and operational phases in order to cost-effectively implement customer-specific small-batch production as well.


The Robotics Lab demonstrates how synergy effects can be generated and exploited by means of semantic integration and the interpretation of heterogeneous information and data sources. This leads to a deeper understanding of the production goal and its implications, which represent the foundation for autonomous production.

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  • Research
    Core research topics are knowledge-based approaches to digitalization in manufacturing companies. For this purpose, formalized production-relevant knowledge is used to enable a more intuitive instruction and operation of cyber-physical systems and to increase their degree of autonomy. Collaborations with external partners can be established based on various cooperation and funding models.
  • Information
    There are opportunities for informal exchange with representatives from science and industry, and in particular Bavarian SMEs. The focus is on current state-of-the-art approaches for digital engineering and autonomy in production.
  • Prototypes
    Prototype demonstrators illustrate current research results:
    • Flexible Plug&Produce systems based on standardized OPC UA skills for machines, robots, and tools.
    • Intuitive and efficient instruction of robot systems
    • Autonomous production for customized products with small batch sizes
  • Customized solutions
    Adaptations for user-specific problems are developed together with application partners. Of great interest here is how scientific insights can be transferred to new use cases.
  • Network
    fortiss cooperation partners gain access to a comprehensive and high-caliber ecosystem consisting of representatives from science, industry, and interface institutions. This provides the opportunity to network and exchange experiences and insights.
  • Qualification
    In the context of lab courses and seminars at the Technical University of Munich, the Robotics Lab conveys a broad spectrum of application-oriented expertise to interested students.
 Alexander Perzylo

Your contact

Alexander Perzylo

+49 89 3603522 531