Robotics and uncertainity: programming
Unsupervised, reinforcement and supervised learning programming
Environment robotic interactions models and distributions
Decision theories, parametric, nonparametric and multivariate methods
Gaussian and nonparametric filters algorithms
Dimensionality reduction and clustering programming
Robot motion programming
Perception algorithms
Training multilayer perceptrons: Neural networks and Parallel Processing
Localization Algorithms
Mapping: SLAM implementations
Competitive learning and kernel machines programming
Graphical models implementation
Machine Learning advanced programming
Arduino robotics
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