Continuous-time Gaussian process motion planning via probabilistic inference.
Mustafa MukadamJing DongXinyan YanFrank DellaertByron BootsPublished in: Int. J. Robotics Res. (2018)
Keyphrases
- motion planning
- probabilistic inference
- gaussian process
- gaussian processes
- graphical models
- degrees of freedom
- approximate inference
- mobile robot
- humanoid robot
- path planning
- regression model
- bayesian networks
- latent variables
- bayesian framework
- model selection
- conditional probabilities
- message passing
- belief networks
- dynamical systems
- semi supervised
- hyperparameters
- multi robot
- random variables
- marginal likelihood
- exact inference
- probabilistic model
- cross validation
- expectation maximization
- reinforcement learning
- three dimensional
- machine learning
- data sets