Improved Genetic Algorithms based on Data-Driven operators for Path Planning of Unmanned surface Vehicle.
Junfeng XinJiabao ZhongJinlu ShengPenghao LiYing CuiPublished in: Int. J. Robotics Autom. (2019)
Keyphrases
- path planning
- data driven
- autonomous vehicles
- ground vehicles
- genetic algorithm
- mobile robot
- path planning algorithm
- obstacle avoidance
- collision avoidance
- dynamic environments
- multi robot
- potential field
- optimal path
- dynamic and uncertain environments
- motion planning
- multiple robots
- path finding
- neural network
- robot path planning
- configuration space
- route planning
- unmanned aerial vehicles
- simulated annealing
- indoor environments
- d objects
- path planner
- particle swarm optimization
- search and rescue
- aerial vehicles
- collision free
- trajectory planning
- navigation tasks
- evolutionary algorithm
- search space
- robotic systems