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Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich



Machine Learning for Robotics and Computer Vision

Online Resources

Note: As a TUM student, if you are planning to take the exam and get credits, you are encouraged to participate in current course iteration during the semester.


In this lecture, the students will be introduced into the most frequently used machine learning methods in computer vision and robotics applications. The major aim of the lecture is to obtain a broad overview of existing methods, and to understand their motivations and main ideas in the context of computer vision and pattern recognition.


Linear Algebra, Calculus and Probability Theory are essential building blocks to this course.


Lecture recordings from 2013/14 can be found on YouTube.

Lecture Material

Lecture slides and exercise material are available from previous semesters, for example Winter Semester 2017

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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In April 2022 Jürgen Sturm, Christian Kerl and Daniel Cremers were featured among the top 10 most influential scholars in robotics of the last decade.


We have open PhD and postdoc positions! To apply, please use our application form.


We have six papers accepted to CVPR 2022 in New Orleans!


We have two papers accepted to ICRA 2022 - congrats to Lukas von Stumberg, Qing Cheng and Niclas Zeller!