Bayesian robot system identification with input and output noise.
Jo-Anne TingAaron D'SouzaStefan SchaalPublished in: Neural Networks (2011)
Keyphrases
- input data
- control signals
- desired output
- mobile robot
- human robot interaction
- missing data
- multiple output
- input variables
- noisy data
- input output
- hidden units
- vision system
- random noise
- robotic systems
- multi robot
- noise level
- rbf network
- real time
- maximum likelihood
- neural network
- humanoid robot
- signal to noise ratio
- path planning
- autonomous robots
- robot navigation
- obstacle avoidance
- bayesian networks
- noise reduction
- noise model
- increase in computational complexity
- hidden layer
- simulated robot
- bayesian approaches
- experimental platform
- robot manipulators
- robot arm
- additive noise
- bayesian methods
- recurrent neural networks
- hidden markov models
- data sets