Extracting low-dimensional control variables for movement primitives.

Elmar Rueckert Jan Mundo Alexandros Paraschos Jan Peters Gerhard Neumann

Published in: ICRA (2015)

Keyphrases

low dimensional
high dimensional
data sets
control system
dimensionality reduction
random variables
manifold learning
input space
high dimensional data
euclidean space
smooth pursuit
input variables
robotic systems
control strategy
human motion
vector space
knn
data points
low level
image sequences
high level