A Gaussian variational inference approach to motion planning.
Hongzhe YuYongxin ChenPublished in: CoRR (2022)
Keyphrases
- motion planning
- variational inference
- bayesian inference
- topic models
- posterior distribution
- mixture model
- degrees of freedom
- latent dirichlet allocation
- probabilistic graphical models
- probabilistic model
- variational methods
- mobile robot
- gaussian process
- path planning
- closed form
- exponential family
- maximum likelihood
- gaussian mixture model
- exact inference
- humanoid robot
- multi robot
- prior information
- gaussian distribution
- approximate inference
- graphical models
- latent variables
- hyperparameters
- parameter estimation
- probability distribution
- factor graphs
- generative model
- bayesian framework
- bayesian networks
- em algorithm
- level set
- semi supervised
- feature vectors