WG 7: Hostile-to-Life Environments

No matter if in the deep sea, in outer space, in contaminated areas or in crisis regions: Self-learning systems can operate at locations which are dangerous, intolerable or harmful for humans. Assisting systems and robots have different levels of automation and autonomy depending on the operation site and their mission. At the moment, they are still highly dependent on human specifications. Eventually, robots will be able to solve complex tasks together with humans - and they will operate and move in unknown territory on their own. Considering these new technological developments, new questions arise: What new business models emerge? And which juridical and ethical challenges must be tackled?

Topics and Organisation of the Working Group

The working group focuses on the requirements and technologies for the application of self-learning systems in difficult-to-access and dangerous environments. It also addresses issues related to the transparency of such systems and the decision-making power of human individuals.

Jürgen Beyerer

Frank Kirchner

Members of the Working Group

  • Prof. Dr.-Ing. Alin Olimpiu 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
  • Prof. Dr. rer. Nat. Dipl.-Ing. Thomas Deserno
  • Technische Universität Braunschweig
  • Dr.-Ing. Jeronimo Dzaack
  • Dr. Thomas Egloffstein
  • ICP Ingenieurgesellschaft mbH
  • Dr. -Ing. Michael Gustmann
  • Kerntechnische Hilfsdienst GmbH
  • 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

  • Which avail do self-learning systems have in hostile-to-life environments for individuals and society?
  • How does adaptation and compensation for function- and subsystems failures work in those environments?
  • How does autonomous learning succeed in long-term remote (autonomous) systems?
  • How can the systems learn from sparse data in unique situations (keyword: incremental learning)?
  • How can skills and generalized learning (inductive learning) be transferred?
  • Which challenges can occur when AI is used against humans (keyword: dual-use)?

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