Robot Vision


Recommended prerequisite for participation in the module

The module builds upon basic knowledge of the modules linear algebra and statistics

Content, progress and pedagogy of the module

Learning objectives


  • Must have gained an understanding of fundamental concepts related to robotics.
  • Must have an understanding of how vision and other sensors can be integrated with a robot
  • Must have an understanding of relevant technologies enabling the design of intelligent machines (artificial intelligence).
  • Must have an understanding of highly flexible and integrated automation technologies.
  • Must have an understanding of the business potential of intelligent manufacturing.


  • Must be able to use various technologies to provide manufacturing systems with intelligent capabilities (reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects).
  • Must be able to model the direct and inverse kinematics of a robot.
  • Must be able to design simple trajectory planners, including Cartesian and joint interpolators
  • Must be able to program an industrial robot to carry out various tasks
  • Must be able to integrate vision with an industrial robot.
  • Must be able to integrate and implement intelligent machines into a small and limited manufacturing system.


  • Must have the foundation to participate in projects aiming at designing intelligent manufacturing systems which more or less autonomously can adapt to variations in its environment and, over time, improve its performance.

Type of instruction

The form(s) of teaching will be determined and described in connection with the planning of the Semester. The description will account for the form(s) of teaching and may be accompanied by an elaboration of the roles of the participants.

General types of instruction are listed in §17; Structure and Contents of the Programme.



Name of examRobot Vision
Type of exam
Written or oral exam
AssessmentPassed/Not Passed
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 codeESNVGISK2K2
Module typeCourse
Duration1 semester
Language of instructionEnglish
Location of the lectureCampus Aalborg
Responsible for the module


Study BoardStudy Board of Electronics and IT
DepartmentDepartment of Electronic Systems
FacultyThe Technical Faculty of IT and Design