Learning task constraints for robot grasping using graphical models.
Dan SongKai HuebnerVille KyrkiDanica KragicPublished in: IROS (2010)
Keyphrases
- graphical models
- probabilistic model
- learning algorithm
- belief propagation
- approximate inference
- bayesian networks
- mobile robot
- motor skills
- conditional random fields
- probabilistic graphical models
- human robot interaction
- relational dependency networks
- structural learning
- statistical relational learning
- structured prediction
- markov networks
- probabilistic inference
- background knowledge
- reinforcement learning
- hidden variables
- humanoid robot
- exact inference
- vision system
- linear programming