Selection of trajectory parameters for dynamic pouring tasks based on exploitation-driven updates of local metamodels.
Joshua D. LangsfeldKrishnanand N. KaipaSatyandra K. GuptaPublished in: Robotica (2018)
Keyphrases
- fine tuning
- maximum likelihood
- transfer learning
- dynamically select
- parameter estimation
- dynamic environments
- data driven
- neural network
- parameter values
- input parameters
- trajectory data
- measured data
- data model
- spatio temporal
- spatial data
- sensitivity analysis
- robotic systems
- selection algorithm
- model driven
- database systems
- machine learning