Logo Leibniz Universität Hannover
Logo: Institute of Automatic Control
Logo Leibniz Universität Hannover
Logo: Institute of Automatic Control
  • Zielgruppen
  • Suche

Machine Learning and Modern Control in Robotics

Organizational Facts

  • Semester: Winter semester
  • Lecturer: Prof. Dr.-Ing. Sami Haddadin
  • Location: Room 1526, 15th floor, building 3408 (Appelstr. 9a)
  • Time: Tuesdays, 10:15 - 11:45 h
  • Credit Points: 5 CP (Lecture 2 + Tutorial 2)
  • Tutorial: Challenge event (Robothon)
  • Documents, dates, contact persons and other organizational facts can be found on Stud.IP
  • Information on examinations can be found on our page with information regarding IRT examinations.


  • Motivation
  • Part I: Modern Control Methods 

    • Differential Geometry in Robotics
    • Task Space Control and Redundancy
    • Passivity-Based Control and Port-based Interpretation
    • Adaptive Interaction Control
    • Modeling and Identification of Robot Dynamics
    • Putting things together: Control Architecture

  • Part II: Machine Learning  

    • Probability Theory
    • Overview of Machine Learning in Robotics
    • Linear Regression and Classification
    • Neural Networks and Deep Learning
    • Reinforcement Learning
    • Gaussian Process
    • Bayesian Optimization

Robothon - E

The tutorial is organized as a Robothon challenge in which the participants have to solve practical tasks related to the course material. The tasks are only loosely fixed leaving much freedom for the students for own innovative ideas.

Below, some impression from the previous challenge events is shown.