A comparison of PSO and Reinforcement Learning for multi-robot obstacle avoidance.
Ezequiel Di MarioZeynab TalebpourAlcherio MartinoliPublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- multi robot
- obstacle avoidance
- path planning
- mobile robot
- reinforcement learning
- motion planning
- potential field
- real robot
- multi robot systems
- robot control
- multiple robots
- visually guided
- search and rescue
- dynamic environments
- autonomous vehicles
- multi robot exploration
- particle swarm optimization
- uncertain environments
- collision avoidance
- robot soccer
- pso algorithm
- indoor environments
- autonomous navigation
- particle swarm optimization pso
- robotic systems
- autonomous robots
- global optimization
- path finding
- unknown environments
- evolutionary algorithm
- machine learning
- initially unknown
- multi agent
- state space
- optimal policy
- ant colony optimization
- markov decision processes
- degrees of freedom