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Active Learning of Probabilistic Movement Primitives
An active learning approach to learning a library of Probabilistic Movement Primitives capable of generalizing over a bounded space.
Adam Conkey, Tucker Hermans
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Active Learning of Probabilistic Movement Primitives
Learning Task Constraints from Demonstration for Hybrid Force/Position Control
We learn a dynamic constraint frame from demonstration for hybrid force/position control using Cartesian Dynamic Movement Primitives.
Adam Conkey, Tucker Hermans
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Learning Task Constraints from Demonstration for Hybrid Force/Position Control