Autonomous Robotic Systems


Content, progress and pedagogy of the module

The module is based on knowledge achieved in the 1 semester project module Robotic Based Condition Monitoring.

Learning objectives


  • Have knowledge and comprehension of the distinct levels of autonomy in robotic systems
  • Have knowledge and comprehension of different probabilistic methods to design autonomous robotic systems
  • Have knowledge and comprehension of AI based methods used in autonomous robotics
  • Have knowledge and comprehension of multi-robotic systems and their coordination
  • Have knowledge of the localization, navigation and planning methods used in autonomous robotic systems


  • Be able to integrate hardware and software components into a cohesive robotic system that can operate autonomously.
  • Be able to integrate localization, navigation and planning methods and algorithms in robotic systems
  • Be able to design intelligent unmanned aerial, ground, or underwater robotic systems with several degrees of autonomy


  • Be able to analyze complex technical problems and develop innovative solutions to improve the performance and capabilities of autonomous robotic systems.
  • Be able to design and develop autonomous robotic systems that can operate in challenging and dynamic environments, and meet the performance and safety requirements of the application domain
  • Independently be able to continue own development in competence and specialisation related to the field

Type of instruction

Problem based project organised work in groups. The project can be a disciplinary project, a cross disciplinary project or a part of a multi-disciplinary project, where several groups from the department do different parts of a larger project.

Finally, the project can also be a part of a so-called MEGA project where several project groups from more departments are participating, each doing their part of the large project to find a total solution.

The project work should be based on an unmanned aerial, ground, or underwater robotic system. The considered robotic system should be analysed, and a simulation model of the system is made taking relevant dynamics into account.

The robotic system model should be verified by experimental test either on a real system or in the laboratory.

A workshop “PBL competence profile” to make an individual PBL competence profile is offered during the semester. More information can be found at PBL Education at Aalborg University.

Extent and expected workload

Since it is a 15 ECTS project module, the work load is expected to be 450 hours for the student.


Prerequisite for enrollment for the exam

  • An approved PBL competency profile is a prerequisite for participation in the project exam.


Name of examAutonomous Robotic Systems
Type of exam
Oral exam based on a project
Permitted aids
With certain aids:
For more information about permitted aids, please visit the course description in Moodle.
Assessment7-point grading scale
Type of gradingExternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleAutonome Robotsystemer
Module codeE-AIAS-K2-1
Module typeProject
Duration1 semester
Language of instructionEnglish
Location of the lectureCampus Esbjerg
Responsible for the module


Education ownerMaster of Science (MSc) in Engineering (Advanced Power Electronics)
Study BoardStudy Board of Build, Energy, Electronics and Mechanics in Esbjerg
DepartmentDepartment of Energy
FacultyThe Faculty of Engineering and Science