Robot skill learning in latent space of a deep autoencoder neural network.
Rok PahicZvezdan LoncarevicAndrej GamsAles UdePublished in: Robotics Auton. Syst. (2021)
Keyphrases
- skill learning
- latent space
- neural network
- robot arm
- latent variables
- low dimensional
- motor skills
- gaussian process
- dimensionality reduction
- manifold learning
- lower dimensional
- parameter space
- transfer learning
- generative model
- feature space
- distance metric
- high dimensional
- action space
- gaussian processes
- matrix factorization
- probabilistic latent semantic analysis
- pattern recognition
- machine learning
- motion planning
- position and orientation
- humanoid robot
- regression model
- model selection
- state space