A model-based approach to robot kinematics and control using discrete factor graphs with belief propagation.
Indar SugiartoJörg ConradtPublished in: Robotics Auton. Syst. (2017)
Keyphrases
- belief propagation
- factor graphs
- graphical models
- message passing
- approximate inference
- markov random field
- graph cuts
- stereo matching
- markov networks
- pairwise
- exact inference
- latent variables
- probabilistic inference
- probabilistic graphical models
- probabilistic model
- belief networks
- three dimensional
- parameter learning
- closed form
- conditional random fields
- conditional independence
- variational methods