Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Field, SE(3) Equivariance, and Riemannian Mixture Models.
Ho Jin ChoiNadia FigueroaPublished in: ICRA (2024)
Keyphrases
- mixture model
- gaussian process
- model selection
- bayesian nonparametric
- variational inference
- hyperparameters
- em algorithm
- gaussian processes
- gaussian mixture model
- bayesian framework
- mixture of gaussians
- probabilistic model
- generative model
- regression model
- approximate inference
- density estimation
- expectation maximization
- latent variables
- maximum likelihood
- likelihood function
- semi supervised
- cross validation
- unsupervised learning
- language model
- probability density function
- reinforcement learning
- gaussian mixture
- markov random field
- support vector