Infoscience

Conference paper

Robot Head Stabilization During Periodic Locomotion Using Adaptive Dynamical Systems

We present a gaze stabilization system using only visual information as feedback for a self tuning dynamical system. We describe how the dynamical system tunes its internal parameters to those of the optical flow information to generate compensatory commands. We show that the system can be applied to head stabilization during periodic locomotion, but also to tracking periodically moving objects.

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