Probabilistic Inference-Based Robot Motion Planning via Gaussian Belief Propagation.
Salman BariVolker GablerDirk WollherrPublished in: IEEE Robotics Autom. Lett. (2023)
Keyphrases
- probabilistic inference
- belief propagation
- graphical models
- message passing
- approximate inference
- belief networks
- probabilistic model
- influence diagrams
- random variables
- probabilistic graphical models
- bayesian networks
- exact inference
- graph cuts
- loopy belief propagation
- markov random field
- fixed point
- factor graphs
- markov networks
- maximum likelihood
- stereo matching
- free energy
- marginal probabilities
- variational methods
- object recognition
- marginal distributions
- conditional probabilities
- conditional random fields
- model selection
- data points
- partition function
- neural network