Nonlinear dimensionality reduction for kinematic cartography with an application toward robotic locomotion.
Tony DearRoss L. HattonHowie ChosetPublished in: IROS (2014)
Keyphrases
- nonlinear dimensionality reduction
- robotic systems
- degrees of freedom
- mobile robot
- robot motion
- manifold learning
- low dimensional
- dimensionality reduction
- laplacian eigenmaps
- high dimensional data
- maximum variance unfolding
- dimensionality reduction methods
- riemannian manifolds
- pose estimation
- motion planning
- machine learning
- data sets
- multi class
- computer vision