A rule-based framework for parameter estimation of robot dynamic models.
Robert LucyshynJorge AngelesPublished in: IROS (1991)
Keyphrases
- parameter estimation
- dynamic model
- maximum likelihood
- parameter estimates
- least squares
- em algorithm
- model selection
- statistical models
- approximate inference
- markov random field
- parameter estimation algorithm
- parameter values
- expectation maximization
- random fields
- maximum likelihood estimation
- stochastic logic programs
- posterior distribution
- bayesian framework
- model fitting
- gibbs sampling
- experimental data
- robot manipulators
- bayesian model selection