Double Deep Reinforcement Learning Techniques for Low Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots.
Linda Dotto de MoraesVictor Augusto KichAlisson Henrique KollingJair Augusto BottegaRaul SteinmetzEmerson Cassiano da SilvaRicardo B. GrandoAnselmo Rafael CucklaDaniel Fernando Tello GamarraPublished in: ISDA (2) (2022)
Keyphrases
- mobile robot
- low dimensional
- reinforcement learning
- obstacle avoidance
- indoor environments
- unstructured environments
- autonomous navigation
- sensor fusion
- unknown environments
- high dimensional
- robot control
- outdoor environments
- path planning
- real robot
- navigation tasks
- potential field
- autonomous robots
- dimensionality reduction
- high dimensional data
- autonomous vehicles
- function approximation
- manifold learning
- principal component analysis
- motion control
- data points
- topological map
- multi robot
- collision free
- feature space
- dynamic environments
- state space
- mobile robotics
- motion planning
- euclidean space
- input space
- reinforcement learning algorithms
- sensor networks
- robot navigation
- model free
- real time
- multiple robots
- collision avoidance
- machine learning
- linear subspace
- learning algorithm
- pattern recognition
- simultaneous localization and mapping
- dynamic programming
- supervised learning
- robotic systems