REVIEW 1 cited by
Neural Dynamic Movement Primitives -- a survey
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
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.
Forward citations
Cited by 1 Pith paper
-
Movement Primitives in Robotics: A Comprehensive Survey
A comprehensive survey that maps movement primitive frameworks in robot learning from demonstration, comparing DMPs, ProMPs, KMPs, CNMPs, and FMPs and cataloging their applications.
Discussion (0). Continue with ORCID to comment.