Leveraging Scene Embeddings for Gradient-Based Motion Planning in Latent Space.
Jun YamadaChia-Man HungJack CollinsIoannis HavoutisIngmar PosnerPublished in: ICRA (2023)
Keyphrases
- motion planning
- latent space
- low dimensional
- latent variables
- degrees of freedom
- dimensionality reduction
- gaussian process
- mobile robot
- generative model
- manifold learning
- path planning
- gaussian processes
- lower dimensional
- parameter space
- feature space
- probabilistic latent semantic analysis
- robotic arm
- humanoid robot
- high dimensional
- matrix factorization
- video sequences
- scene classification
- gaussian process latent variable models
- transfer learning
- inverse kinematics
- distance metric
- gaussian mixture
- three dimensional
- high dimensional data
- high dimensional spaces
- multi robot
- probabilistic model
- object recognition
- image sequences
- input image
- multi modal
- moving objects