Single-Course English 5 ECTS

PhD Course – Advanced topics in Perception for Robotics and Autonomous Systems

Overall Course Objectives

To make participants able to apply robotics and autonomous systems at an international level.
The course aims at giving participants the ability to demonstrate the theory and methods on a case relevant to the participant’s own research

Learning Objectives

  • Robust Machine Learning for Autonomous Robot Perception
  • Autonomous Robot Perception
  • Label-Efficient Learning
  • Meta-learning
  • Unsupervised learning for Autonomous Systems
  • Few-shot learning
  • Domain adaptation
  • Multi-task learning

Course Content

Advanced topics in robots and autonomous systems, including: Robust Machine Learning for Autonomous Robot Perception, Unsupervised learning for Autonomous Systems, Label-Efficient Learning, Meta-learning.
Participants work individually with the design and implementation of robot and autonomous systems chosen by the participant and approved by the lecturers.

Recommended prerequisites


Teaching Method

The course runs as a combination of a study group for the theory part followed by a design and implementation part where participants appy theory and methods on an object related to their own research.


Limited number of seats

Minimum: 2, Maximum: 10.

Please be aware that this course has a minimum requirement for the number of participants needed, in order for it to be held. If these requirements are not met, then the course will not be held. Furthermore, there is a limited number of seats available. If there are too many applicants, a pool will be created for the remainder of the qualified applicants, and they will be selected at random. You will be informed 8 days before the start of the course, whether you have been allocated a spot.

See course in the course database.





13 weeks




DTU Lyngby Campus

Course code 34792
Course type PhD

10.600,00 DKK

Please note that this course has participants limitation. Read more