Learning task-space synergies using Riemannian geometry,
In the context of robotic control, synergies can form elementary units of behavior. By specifying taskdependent coordination behaviors at a low control level, one can achieve task-specific disturbance rejection. In this work we present an approach to learn the parameters of such lowlevel controllers...
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| Format: | Conference item |
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Institute of Electrical and Electronics Engineers
2017
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