Approximating Constraint Manifolds Using Generative Models for Sampling-Based Constrained Motion Planning.
Cihan AcarKeng Peng TeePublished in: CoRR (2022)
Keyphrases
- motion planning
- generative model
- degrees of freedom
- configuration space
- path planning
- trajectory planning
- probabilistic model
- mobile robot
- discriminative learning
- discriminative models
- mixture model
- humanoid robot
- hierarchical hidden markov models
- semi supervised
- prior knowledge
- conditional random fields
- generative and discriminative models
- em algorithm
- low dimensional
- multi robot
- collision free
- discriminative methods
- climbing robot
- labeled data
- graphical models
- active learning
- learning algorithm