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.
no code implementations • 10 Apr 2019 • Charles P. Martin, Jim Torresen
We propose that a mixture density recurrent neural network (MDRNN) is an appropriate model for this task.
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
no code implementations • 31 Jan 2018 • Charles P. Martin, Kai Olav Ellefsen, Jim Torresen
Musical performance requires prediction to operate instruments, to perform in groups and to improvise.
no code implementations • 29 Nov 2017 • Charles P. Martin, Jim Torresen
RoboJam is a machine-learning system for generating music that assists users of a touchscreen music app by performing responses to their short improvisations.