Environmental Adaptation of Robot Morphology and Control through Real-world Evolution

no code implementations • 30 Mar 2020 • Tønnes F. Nygaard, Charles P. Martin, David Howard, Jim Torresen, Kyrre Glette

We find that the evolutionary search finds high-performing and diverse morphology-controller configurations by adapting both control and body to the different properties of the physical environments.

Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing

no code implementations • 15 Mar 2018 • Tønnes F. Nygaard, Charles P. Martin, Jim Torresen, Kyrre Glette

This allows active adaptation of morphology to different environments, and enables rapid tests of morphology with a single robot.

Robotics