376.056 Robot Vision: Industry and Research
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, VU, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to conduct small projects in the research field of robot vision and machine vision. They will be able to report results in the correct scientific manner and be able to present results in form of a paper and short presentation.

Subject of course

Invited speakers from industry and research present new topics and results.

Dates see 376.055 Robot Vision: Selected Topics

Teaching methods

The methods correspond to a deepening of the methods from lecture 376.081 Machine Vision.
In special cases, similar or new methods are also assigned under the supervision of the assistants.

Mode of examination

Written and oral

Additional information

jointly with 376.055



Course dates

Wed10:00 - 11:3010.05.2023 https://tuwien.zoom.us/j/68968464853?pwd=VXZWMk5zbU9ENHAxeTFyU0dmQzdhdz09 (LIVE)Prof. Jen Jen Chung (University of Queensland)
Tue14:00 - 15:0006.06.2023 https://tuwien.zoom.us/j/67077236514?pwd=NTBoYkpvVnBXSEtvbEE4eisyVS90dz09 (LIVE)Talk François Fleuret (University of Geneva)

Examination modalities

2-page scientific paper following the IEEE format plus short presentation of the scintific work and the results.

Course registration

Not necessary


Study CodeObligationSemesterPrecon.Info
066 504 Master programme Embedded Systems Not specified
066 506 Energy Systems and Automation Technology Not specified
066 515 Automation and Robotic Systems Mandatory elective


No lecture notes are available.

Previous knowledge

376.081 Machine Vision

Preceding courses

Accompanying courses