The special session aims to provide a forum for researchers interested in the field of evolutionary robotics, the application of evolutionary computation techniques to automatically design robots, real or simulated. This is by nature a multi-faceted field that combines approaches from other fields such as neuro-evolution, evolutionary design, artificial life, robotics, etcetera. We seek high quality contributions dealing with state-of-the-art research in the area of evolutionary robotics.
Download the CFP in PDF from here.
Topics of interest
Topics of interest include, but are not limited to:
- Reality gap (sim2real)
- Evolution on real-world hardware
- Virtual creatures
- Morphological evolution
- Neuroevolution for robotics
- Encodings and developmental approaches for evolutionary robotics
- Lifetime learning approaches
- Co-evolutionary and multi-objective approaches
- Open-ended evolution in robotics
- Diversity enhancing methods in robotics (e.g. quality-diversity)
- Evolutionary computation in biorobotics
- Embodied evolution
- Evolving multi-agent systems
Organizers
- Kyrre Glette
Universitetet i Oslo, Norway
kyrrehg(at)ifi.uio.no - Frank Veenstra
Universitetet i Oslo, Norway
frankvee(at)ifi.uio.no