An improved Monte Carlo method based on Gaussian growth to calculate the workspace of robots.
Adrián PeidróÓscar ReinosoArturo GilJosé María MarínLuis PayáPublished in: Eng. Appl. Artif. Intell. (2017)
Keyphrases
- monte carlo method
- markov chain
- parallel robot
- monte carlo
- generalized gaussian
- genetic algorithm
- bayesian learning
- posterior distribution
- maximum likelihood estimation
- maximum likelihood
- mathematical models
- state space
- parameter estimation
- probability density function
- gaussian distribution
- markov random field
- neural network
- graphical models
- maximum a posteriori
- density function