A Unifying Variational Framework for Gaussian Process Motion Planning.
Lucas CosierRares IordanSicelukwanda ZwaneGiovanni FranzeseJames T. WilsonMarc Peter DeisenrothAlexander TereninYasemin BekirogluPublished in: CoRR (2023)
Keyphrases
- motion planning
- gaussian process
- variational framework
- variational methods
- approximate inference
- level set
- degrees of freedom
- shape prior
- bayesian framework
- mobile robot
- model selection
- latent variables
- regression model
- humanoid robot
- hyperparameters
- semi supervised
- light field
- image segmentation
- active contours
- probabilistic model
- closed form
- noise level
- graph cuts