Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs.
Jing DongMustafa MukadamFrank DellaertByron BootsPublished in: Robotics: Science and Systems (2016)
Keyphrases
- gaussian processes
- factor graphs
- probabilistic inference
- graphical models
- approximate inference
- message passing
- gaussian process
- exact inference
- belief propagation
- bayesian networks
- influence diagrams
- belief networks
- conditional probabilities
- probabilistic graphical models
- hyperparameters
- probabilistic model
- latent variables
- multi task
- random variables
- bayesian framework
- cross validation
- model selection
- image processing
- machine learning
- regression model
- markov networks
- parameter learning
- learning algorithm