Trajectory Planning Under Environmental Uncertainty With Finite-Sample Safety Guarantees.
Vasileios LefkopoulosMaryam KamgarpourPublished in: CoRR (2021)
Keyphrases
- trajectory planning
- finite sample
- sample size
- motion planning
- statistical learning theory
- uniform convergence
- obstacle avoidance
- error bounds
- nearest neighbor
- path planning
- robot manipulators
- dynamic environments
- parzen window
- generalization bounds
- generalization error
- upper bound
- vc dimension
- statistical learning
- sufficient conditions
- worst case
- support vector machine
- mobile robot
- supervised classification
- machine learning
- kernel machines
- density estimation
- degrees of freedom
- learning problems