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Neural Dynamic Movement Primitives -- a survey

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arxiv 2208.01903 v1 pith:Q6EPWYWK submitted 2022-08-03 cs.RO cs.AI

classification cs.ROcs.AI
keywords dynamicmovementprimitivesneuralrelatedsurveyabilityaccurate
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One of the most important challenges in robotics is producing accurate trajectories and controlling their dynamic parameters so that the robots can perform different tasks. The ability to provide such motion control is closely related to how such movements are encoded. Advances on deep learning have had a strong repercussion in the development of novel approaches for Dynamic Movement Primitives. In this work, we survey scientific literature related to Neural Dynamic Movement Primitives, to complement existing surveys on Dynamic Movement Primitives.

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Cited by 1 Pith paper

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  1. Movement Primitives in Robotics: A Comprehensive Survey

    cs.RO 2025-12 conditional novelty 1.0 of 10

    A comprehensive survey that maps movement primitive frameworks in robot learning from demonstration, comparing DMPs, ProMPs, KMPs, CNMPs, and FMPs and cataloging their applications.

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