Using a Bayesian-Inference Approach to Calibrating Models for Simulation in Robotics.
Huzaifa Mustafa UnjhawalaRuochun ZhangWei HuJinlong WuRadu SerbanDan NegrutPublished in: CoRR (2023)
Keyphrases
- bayesian inference
- probabilistic model
- gibbs sampler
- bayesian models
- prior information
- variational inference
- hyperparameters
- hidden variables
- simulation models
- machine learning
- prior distribution
- hierarchical bayesian
- statistical inference
- markov chain monte carlo
- statistical models
- particle filter
- level set
- graphical models
- computer vision