Exploratory path planning for mobile robots in dynamic environments with ant colony optimization.
Valéria de Carvalho SantosFernando E. B. OteroColin G. JohnsonFernando Santos OsórioClaudio Fabiano Motta ToledoPublished in: GECCO (2020)
Keyphrases
- dynamic environments
- path planning
- ant colony optimization
- mobile robot
- metaheuristic
- aco algorithm
- ant colony
- obstacle avoidance
- swarm intelligence
- collision avoidance
- particle swarm optimization
- traveling salesman problem
- indoor environments
- potential field
- aco algorithms
- ant colony algorithm
- autonomous navigation
- path planning algorithm
- multi robot
- motion planning
- artificial ants
- optimal path
- path planner
- unknown environments
- autonomous robots
- path finding
- autonomous vehicles
- multiple robots
- autonomous agents
- robotic systems
- ant colonies
- degrees of freedom
- autonomous systems
- changing environment
- genetic algorithm
- unmanned aerial vehicles
- quadratic assignment problem
- sensory information
- mobile robotics
- real robot
- collision free
- belief space
- global optimization
- real environment
- tabu search
- navigation tasks
- computational intelligence
- search algorithm
- optimal solution