From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For Robotics.
Kaylene Caswell StockingAlison GopnikClaire J. TomlinPublished in: CoRL (2021)
Keyphrases
- graphical models
- bayesian networks
- human robot interaction
- belief propagation
- robotic systems
- probabilistic model
- approximate inference
- mobile robot
- random variables
- probabilistic graphical models
- markov networks
- probabilistic inference
- conditional random fields
- structure learning
- conditional independence
- models with hidden variables
- computer vision
- possibilistic networks
- map inference
- graph structure
- influence diagrams
- chain graphs
- statistical inference
- belief networks
- causal relationships
- exponential family
- factor graphs
- gaussian graphical models
- higher order
- generative model
- loopy belief propagation
- statistical relational learning
- latent variables