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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