Drift compensation of a holonomic mobile robot using recurrent neural networks.
Kansu Oguz CanbekHulya YalcinEray A. BaranPublished in: Intell. Serv. Robotics (2022)
Keyphrases
- genetic algorithm
- mobile robot
- recurrent neural networks
- neural network
- artificial neural networks
- path planning
- obstacle avoidance
- motion planning
- echo state networks
- feed forward
- indoor environments
- feedforward neural networks
- recurrent networks
- dynamic environments
- mobile robotics
- complex valued
- reservoir computing
- long short term memory
- autonomous navigation
- neural model
- cascade correlation
- autonomous robots
- multi robot
- motion control
- robotic systems
- formation control
- collision avoidance
- hebbian learning
- nonlinear dynamic systems
- real time
- chaotic time series
- simultaneous localization and mapping
- machine learning
- knowledge base