Smooth global and local path planning for mobile robot using particle swarm optimization, radial basis functions, splines and Bézier curves.
Nancy Arana-DanielAlberto A. GallegosCarlos López-FrancoAlma Y. AlanisPublished in: IEEE Congress on Evolutionary Computation (2014)
Keyphrases
- path planning
- mobile robot
- radial basis function
- obstacle avoidance
- b spline
- basis functions
- indoor environments
- collision avoidance
- rbf network
- neural network
- motion planning
- path planning algorithm
- dynamic environments
- tensor product
- multi robot
- support vector machine svm
- artificial neural networks
- multilayer perceptron
- autonomous robots
- support vector
- path planner
- degrees of freedom
- optimal path
- dynamic and uncertain environments
- unknown environments
- potential field
- navigation tasks
- robotic systems
- autonomous navigation
- support vector machine
- curve fitting
- pattern recognition
- robot path planning
- mobile robotics
- configuration space
- autonomous vehicles
- multiple robots
- real robot
- hidden layer
- decision trees