Machine Learning for Robotics Training Course

Course Code



21 hours (usually 3 days including breaks)


High School maths, basics knowledge of statistics


This course introduces machine learning methods in robotics applications.

It is a broad overview of existing methods, motivations and main ideas in the context of pattern recognition.

After a short theoretical background, participants will perform simple exercise using open source (usually R) or any other popular software.

Course Outline

  • Regression
  • Probabilistic Graphical Models
  • Boosting
  • Kernel Methods
  • Gaussian Processes
  • Evaluation and Model Selection
  • Sampling Methods
  • Clustering
  • CRFs
  • Random Forests
  • IVMs



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