Gaussians on Riemannian Manifolds: Applications for Robot Learning and Adaptive Control.
Sylvain CalinonPublished in: IEEE Robotics Autom. Mag. (2020)
Keyphrases
- adaptive control
- riemannian manifolds
- euclidean space
- covariance matrices
- linear combination
- vector space
- control method
- gaussian mixture model
- mean shift
- parameter space
- covariance matrix
- control law
- geometric structure
- manifold learning
- probability density function
- dynamic environments
- reinforcement learning
- geodesic distance
- multi class classification
- gaussian mixture
- feature space
- multi class
- mixture model
- euclidean distance
- feature selection
- reproducing kernel hilbert space
- mobile robot
- principal component analysis
- dimensionality reduction
- maximum likelihood
- shape analysis
- closed loop
- em algorithm
- machine learning