In this seminar, current topics and methods of machine learning with application in robotics are discussed. In particular,
we focus on new developments in deep learning applications – namely robot vision, cognitive-developmental tasks, and multimodal
learning– in humanoid robotics. To pass this course, the students should develop machine learning models with robot datasets,
propose team projects, presents results in oral presentations and written reports.
Update: According to HU's summer semester policy and due to Covid-19, the lectures, assignments, and presentations will be held online via Zoom.
Some experience with machine learning, programming, and robotics is required. Although we will not assume that you have an extensive background in these fields, basic understanding below-listed items will be necessary to follow the content of the course.
Upon completion of this seminar course, students will be able to:
Dr. Murat Kirtay
Prof. Dr. Verena V. Hafner
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