384.199 Advanced methods in Robot Learning
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2024S, VU, 3.0h, 4.5EC
TUWELLectureTube

Course evaluation

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VU Lecture and Exercise
  • LectureTube course
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to...

- understand the recent trend in robot learning and a collection of state-of-the-art robot learning algorithms

- apply modern machine learning approaches in their interested robotic tasks.  

- be qualified in doing research in robot learning and communicate the research results in form of written and oral presentations.

Subject of course

The lecture deepens the contents on robot learning algorithms, by investigating state-of-the-art robot learning methods. The course covers modern approaches of learning from demonstration, reinforcement learning, deep learning, etc. The lecture will contain research projects, in which a robotic task in service robotics applications will be tackled. It will contain the implementation of robot learning algorithms in simulation and optionally in real robots.

Teaching methods

The contents of this lecture are presented with slides and on the blackboard. Discussion will help develop deeper understanding for the matter. To deepen, reinforce, and practically apply the material, short student projects will be conducted with simulations and experiments.

Mode of examination

Immanent

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu13:00 - 15:0007.03.2024Seminarraum 384 VU Advanced methods in Robot Learning
Thu13:00 - 15:0014.03.2024EI 10 Fritz Paschke HS - UIW VU Advanced methods in Robot Learning
Thu13:00 - 15:0021.03.2024 - 27.06.2024EI 8 Pötzl HS - QUER VU Advanced methods in Robot Learning
Advanced methods in Robot Learning - Single appointments
DayDateTimeLocationDescription
Thu07.03.202413:00 - 15:00Seminarraum 384 VU Advanced methods in Robot Learning
Thu14.03.202413:00 - 15:00EI 10 Fritz Paschke HS - UIW VU Advanced methods in Robot Learning
Thu21.03.202413:00 - 15:00EI 8 Pötzl HS - QUER VU Advanced methods in Robot Learning
Thu11.04.202413:00 - 15:00EI 8 Pötzl HS - QUER VU Advanced methods in Robot Learning
Thu18.04.202413:00 - 15:00EI 8 Pötzl HS - QUER VU Advanced methods in Robot Learning
Thu25.04.202413:00 - 15:00EI 8 Pötzl HS - QUER VU Advanced methods in Robot Learning
Thu02.05.202413:00 - 15:00EI 8 Pötzl HS - QUER VU Advanced methods in Robot Learning
Thu16.05.202413:00 - 15:00EI 8 Pötzl HS - QUER VU Advanced methods in Robot Learning
Thu23.05.202413:00 - 15:00EI 8 Pötzl HS - QUER VU Advanced methods in Robot Learning
Thu06.06.202413:00 - 15:00EI 8 Pötzl HS - QUER VU Advanced methods in Robot Learning
Thu13.06.202413:00 - 15:00EI 8 Pötzl HS - QUER VU Advanced methods in Robot Learning
Thu20.06.202413:00 - 15:00EI 8 Pötzl HS - QUER VU Advanced methods in Robot Learning
Thu27.06.202413:00 - 15:00EI 8 Pötzl HS - QUER VU Advanced methods in Robot Learning

Examination modalities

The evaluation is based on a project. A practical project will be evaluated based on the categories like algorithms, analysis of the results, report and presentation. 

Course registration

Not necessary

Curricula

Study CodeObligationSemesterPrecon.Info
066 504 Master programme Embedded Systems Mandatory elective

Literature

No lecture notes are available.

Previous knowledge

It is strongly recommended to finish the mandatory course "384.185 Machine Learning". It is recommended to finish the course “384.1895 Robot Learning” 

Language

English