Path planning based on Genetic Algorithms and the Monte-Carlo method to avoid aerial vehicle collisions under uncertainties.
Jose A. CobanoRoberto CondeDavid AlejoAníbal OlleroPublished in: ICRA (2011)
Keyphrases
- monte carlo method
- aerial vehicles
- path planning
- genetic algorithm
- collision free
- markov chain
- mobile robot
- monte carlo
- path planning algorithm
- dynamic environments
- obstacle avoidance
- motion planning
- collision avoidance
- multi robot
- evolutionary algorithm
- simulated annealing
- fuzzy logic
- neural network
- unmanned aerial vehicles
- optimal path
- bayesian learning
- reinforcement learning
- multiple targets
- posterior distribution
- human motion
- feature selection
- multiple robots
- video sequences