EvoROBOT 2018 - Evolutionary Computation in Robotics

The EvoROBOT track focusses on evolutionary robotics: the application of evolutionary computation techniques to automatically design the controllers and/or hardware of autonomous 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, et cetera. We seek high quality contributions dealing with state-of-the-art research in the area of evolutionary robotics.
Topics include but are not limited to:
Evolution of (neural) robot controllers;
Evolution of modular robot morphology;
Hardware/morphology and controller co-evolution;
Open-ended evolution in robotics;
Robotic evolutionary Artificial Life;
Evolutionary self-assembly and self-replication;
Evolution, development and learning;
Evolutionary and co-evolutionary approaches.
EvoROBOT track chairs
Kyrre Glette
University of Oslo, Norway
kyrrehg-AT-ifi.uio.no
Julien Hubert
Vrije Universiteit Amsterdam, Netherlands
jghubert-AT-gmail.com