A Unifying Variational Framework for Gaussian Process Motion Planning.
Lucas CosierRares IordanSicelukwanda N. T. ZwaneGiovanni FranzeseJames T. WilsonMarc Peter DeisenrothAlexander TereninYasemin BekirogluPublished in: AISTATS (2024)
Keyphrases
- gaussian process
- motion planning
- variational framework
- variational methods
- approximate inference
- level set
- degrees of freedom
- regression model
- mobile robot
- bayesian framework
- humanoid robot
- semi supervised
- image segmentation
- shape prior
- latent variables
- model selection
- hyperparameters
- light field
- energy function
- state space
- computer vision