Model-free path planning for redundant robots using sparse data from kinesthetic teaching.
Daniel SeidelChristian EmmerichJochen J. SteilPublished in: IROS (2014)
Keyphrases
- path planning
- sparse data
- model free
- mobile robot
- multi robot
- multiple robots
- reinforcement learning
- collision free
- high dimensional
- path planning algorithm
- dynamic environments
- obstacle avoidance
- search and rescue
- collision avoidance
- multi robot systems
- function approximation
- learning process
- motion planning
- robotic systems
- autonomous robots
- dynamic and uncertain environments
- optimal path
- e learning
- robot path planning
- path finding
- autonomous systems
- degrees of freedom
- aerial vehicles
- neural network
- random projections
- data sets
- data cube
- dynamic programming