Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference.
Mustafa MukadamJing DongXinyan YanFrank DellaertByron BootsPublished in: CoRR (2017)
Keyphrases
- motion planning
- gaussian process
- probabilistic inference
- gaussian processes
- approximate inference
- degrees of freedom
- graphical models
- regression model
- bayesian networks
- mobile robot
- model selection
- path planning
- semi supervised
- bayesian framework
- humanoid robot
- conditional probabilities
- belief networks
- message passing
- latent variables
- multi robot
- dynamical systems
- hyperparameters
- cross validation
- state space
- exact inference
- marginal likelihood
- closed form
- support vector
- probabilistic model
- random variables
- feature extraction