Manifold Learning Approach Toward Constructing State Representation for Robot Motion Generation.
Yuichi KobayashiRyosuke MatsuiPublished in: Trans. Comput. Collect. Intell. (2016)
Keyphrases
- manifold learning
- low dimensional
- dimensionality reduction
- robot motion
- semi supervised
- high dimensional
- latent space
- nonlinear dimensionality reduction
- high dimensional data
- sparse representation
- nonlinear manifold
- dimension reduction
- image representation
- collision avoidance
- real world
- principal component analysis
- state space
- feature space
- preprocessing
- feature extraction