Applying the MOVNS (multi-objective variable neighborhood search) algorithm to solve the path planning problem in mobile robotics.
Alejandro Hidalgo-PaniaguaMiguel A. Vega-RodríguezJoaquín Ferruz MeleroPublished in: Expert Syst. Appl. (2016)
Keyphrases
- path planning
- mobile robot
- mobile robotics
- multi objective
- search algorithm
- obstacle avoidance
- path finding
- collision avoidance
- path planning algorithm
- dynamic environments
- multi robot
- indoor environments
- evolutionary algorithm
- multi objective optimization
- autonomous navigation
- motion planning
- genetic algorithm
- path planner
- autonomous vehicles
- navigation tasks
- search space
- dynamic and uncertain environments
- simultaneous localization and mapping
- autonomous robots
- optimal path
- heuristic search
- unmanned aerial vehicles
- potential field
- robot path planning
- computer vision
- degrees of freedom
- multi robot systems
- particle swarm optimization
- aerial vehicles
- robotic systems
- multiple robots
- trajectory planning
- cellular automata
- objective function