Towards a neural hierarchy of time scales for motor control
Feedback control by online learning an inverse model
Adaptive control of compliant robots with Reservoir Computing
Practical approaches to exploiting body dynamics in robot motor control
Partially embodied motor control: towards a natural collaboration between body and brain
Predicting Air Compressor Failures with Echo State Networks
Morphological properties of mass-spring networks for optimal locomotion learning