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Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs.
Jing Dong
Mustafa Mukadam
Frank Dellaert
Byron Boots
Published in:
Robotics: Science and Systems (2016)
Keyphrases
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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