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Tuesday, April 8th 2025 | 17:00 - 10:30 a.m

Biologically inspired AI: A framework for designing adaptive robots

online

Future robots need to be robust and adaptable, and new design approaches are needed for new production methods. I will talk about my research in using evolutionary algorithms and biologically inspired methods with the aim of having more intelligent, robust, and adaptive behavior in robots. I will give a short introduction to some of the algorithms and show how we, at the University of Oslo, apply them in our research platforms for exploring automatic robot design and adaptation. Here, we take an embodied AI approach and aim to co-design the body and the behavior of the robots, such that they are well fit for their intended environments and tasks. These approaches are still at a fundamental research stage, and I will discuss potential future application areas, as well as challenges and opportunities related to the sustainability of these AI systems.

Learning objectives:

By the end of the session, participants will be able to:

  • List some bio-inspired AI approaches for robot design and adaptation.
  • Discuss challenges and opportunities related to algorithmic robot design.

Recommended mastery level:

  • Some undergraduate level engineering or computer science skills would be beneficial, although not absolutely necessary.

Institution

  • AI for Good

Universität Hamburg
Adeline Scharfenberg
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Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein. 

Universität Hamburg
Adeline Scharfenberg
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein.