WG 7: Learning Robotic Systems

Learning robotic systems are to be understood as physical, technical systems and represent embodied AI. This enables them to operate in the physical world. They can be used efficiently and safely in complex environments for the benefit of people, society and the economy - whether directly on humans, in social environments where many people interact, or in environments that are dangerous or difficult for humans to reach. Already today, robotic systems are increasingly being used in environments where this would have seemed inconceivable just a few years ago - for example, as body-worn systems in rehabilitation or to facilitate work in logistics, as cleaning or gardening robots in everyday life, or for customized production in small and medium-sized enterprises or in the skilled trades. Recent developments in the learning and adaptability of robot systems hold enormous potential.

Topics and Organisation of the Working Group

The working group "Learning Robotic Systems" is dedicated to the benefits and potential of learning robotic systems for business and society. It also addresses challenges and control possibilities of such systems and outlines possible business models.

Elsa Kirchner

Jürgen Beyerer

Members of the Working Group

  • Prof. Dr.-Ing. Alin Albu-Schäffer
  • German Aerospace Center (DLR)
  • Prof. Dr.-Ing. Tamim Asfour
  • Karlsruhe Institute of Technology (KIT)
  • Prof. Dr. Sven Behnke
  • University of Bonn
  • Prof. Dr. Andreas Birk
  • Jacobs University Bremen
  • Dipl.-Ing. Gunnar Bloss
  • Lerosh - werk5 GmbH
  • Prof. Dr. rer. Nat. Dipl.-Ing. Thomas Deserno
  • Technische Universität Braunschweig
  • Dr.-Ing. Jeronimo Dzaack
  • ATLAS ELEKTRONIK GmbH
  • Dr. Thomas Egloffstein
  • ICP Ingenieurgesellschaft mbH
  • Dr. -Ing. Michael Gustmann
  • Kerntechnische Hilfsdienst GmbH
  • Prof. Dr. Verena Hafner
  • Humboldt-Universität zu Berlin
  • Prof. Dr. Andreas Nüchter
  • Universität Würzburg
  • Dr.-Ing. Hauke Speth
  • Institut der Feuerwehr NRW
  • Dr. Sirko Straube
  • German Research Center for Artificial Intelligence (DFKI)
  • Dr.-Ing. Igor Tchouchenkov
  • Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB
  • Martin Zimmermann
  • imsimity GmbH

We have received written consent from the listed persons for the publication of their data in accordance with the DSGVO. This list of members is an excerpt and will be completed continuously.

Key Questions for the Working Group

  • What are the benefits and potentials of adaptive robotic systems for business and society (e.g. in medical technology, in production, in everyday life or in hostile environments)?
  • How can adaptive robotic systems adapt to human expectations and needs and to requirements of complex environments?
  • What business models can emerge from the learning and adaptability of robotic systems?
  • What are the requirements for research and development of adaptive robotic systems and for their use in physical environments?
  • What challenges arise from the use of adaptive robotic systems?
  • What control options exist for the learning and adaptability of robotic systems so that safe and reliable use is possible?

Conclusions and Contributions of the Working Group

A comprehensive overview of all results and contributions of the working group available in German can be found here.

  • Publications

  • Expertise

  • Videos (German)

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Coordination of the Working Group at the Managing Office: Maximilian Hösl