Multi-path planning based on a NSGA-II for a fleet of robots to work on agricultural tasks.
Jesús Conesa-MuñozAngela RibeiroDionisio AndujarCésar Fernández-QuintanillaJosé DoradoPublished in: IEEE Congress on Evolutionary Computation (2012)
Keyphrases
- path planning
- multiple robots
- mobile robot
- multi robot
- nsga ii
- multi objective
- path planning algorithm
- dynamic environments
- multi robot systems
- search and rescue
- obstacle avoidance
- autonomous robots
- potential field
- multi objective optimization
- evolutionary algorithm
- pareto optimal
- test problems
- real robot
- multiobjective optimization
- robotic systems
- multiobjective evolutionary algorithm
- optimization problems
- optimization algorithm
- collision avoidance
- collision free
- motion planning
- navigation tasks
- trajectory planning
- unmanned aerial vehicles
- multi objective differential evolution
- evolutionary multiobjective optimization
- bi objective
- multi objective evolutionary algorithms
- dynamic and uncertain environments
- evolutionary multiobjective
- optimal path
- differential evolution
- knapsack problem
- degrees of freedom
- optimal solution
- aerial vehicles
- autonomous navigation
- fitness function
- autonomous vehicles
- autonomous systems
- genetic algorithm ga
- uncertain environments