Neural Dynamic Movement Primitives -- a survey
It provides a comprehensive review for researchers in robotics, but is incremental as it builds on prior surveys without introducing new methods.
This paper surveys existing literature on Neural Dynamic Movement Primitives, addressing the challenge of encoding accurate and dynamic motion control in robotics, without presenting new experimental results or numbers.
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.