Recurrent Neural Networks for fast and robust vibration-based ground classification on mobile robots.
Sebastian OtteChristian WeissTobias SchererAndreas ZellPublished in: ICRA (2016)
Keyphrases
- recurrent neural networks
- mobile robot
- classification accuracy
- decision trees
- feed forward
- pattern recognition
- image classification
- machine learning
- reservoir computing
- complex valued
- neural network
- artificial neural networks
- mobile robot localization
- recurrent networks
- feedforward neural networks
- feature selection
- cross validation
- feature vectors
- model selection
- input output
- text classification
- multi robot
- echo state networks
- support vector machine
- support vector machine svm
- classification method
- path planning
- feature space
- training set
- artificial intelligence
- supervised learning
- cascade correlation