Robot Vision


Recommended prerequisite for participation in the module

This module is based on knowledge gained on the 1st Semester of the MSc in the Manufacturing Technology programme.

Content, progress and pedagogy of the module

Learning objectives


  • Have gained an understanding of relevant technologies enabling the design of adaptive production machines
  • Have gained an understanding of machine vision and how this is integrated into robotic solutions
  • Have gained an understanding of how to simulate advanced robotic solutions
  • Have knowledge about the business potential of robotic vision solutions.


  • Be able to integrate various technologies to provide manufacturing systems with intelligent capabilities (e.g. reasoning,  planning, communication, perception and the ability to move and manipulate objects)
  • Be able to integrate and implement machine vision into a small and limited manufacturing system.
  • Be able to simulate robotic solutions.


  • Be able to professionally participate in projects aiming at developing advanced robotic cells.
  • Establish the foundation for applying vision and relevant simulation tools for future research and development activities.

Type of instruction

The teaching is organized in accordance with the general form of teaching. Please see the programme cirruculum §17.

Extent and expected workload

Since it is a 5 ECTS course module the expected workload is 150 hours for the student.



Name of examRobot Vision
Type of exam
Written or oral exam
Assessment7-point grading scale
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleRobot Vision
Module codeM-MT-K2-2
Module typeCourse
Duration1 semester
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Aalborg
Responsible for the module


Study BoardStudy Board of Mechanical Engineering and Physics
DepartmentDepartment of Materials and Production
FacultyThe Faculty of Engineering and Science