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