Motion planning with graph-based trajectories and Gaussian process inference.
Eric HuangMustafa MukadamZhen LiuByron BootsPublished in: ICRA (2017)
Keyphrases
- gaussian process
- motion planning
- configuration space
- collision free
- covariance function
- expectation propagation
- semi supervised
- gaussian processes
- degrees of freedom
- path planning
- mobile robot
- gaussian process regression
- hyperparameters
- model selection
- approximate inference
- regression model
- latent variables
- bayesian framework
- humanoid robot
- bayesian inference
- multi robot
- variational bayes
- gaussian process models
- cross validation
- moving objects
- dynamic bayesian networks
- probabilistic inference
- machine learning
- spatio temporal
- prior knowledge
- object recognition
- bayesian networks
- noise reduction
- random sampling
- incremental learning
- multi modal
- maximum likelihood
- active learning
- viewpoint
- training data