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DD2419 Project Course in Robotics and Autonomous Systems 9.0 credits

This course is an advanced course in computer science running over two periods and focusing on the broad, inter-disciplinary field of robotics. The emphasis in DD2419 is on showing how methods are used in practice and how they are integrated into a complete system. It follows up on the course DD2410, which gives a broad introduction to robotics. To keep things manageable and steer the learning in DD2419, the project task is predefined. So you will not be able to define your own project, but you will have loads of fun anyway! You will be working with a mobile robot equipped with an arm, and RGB-D camera and a 2D laser scanner in the project. 

The first assignment is an individual assignment ("boot camp"). This aims to make all students familiar with the basic methods and software used in the project and as such enable all to contribute better to the project work later. This also serves as the test for the ability to use ROS which is a requirement for the course. You need to pass the boot camp assignment no later than one week after the last official presentation slot to be allowed to continue the course.

Choose semester and course offering

Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.


For course offering

Spring 2025 ROBPVT25 programme students

Application code


Headings with content from the Course syllabus DD2419 (Spring 2021–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

The main task in the course is to design, implement and evaluate robots to solve certain specific assignments. The work is carried out in groups as a project. The assignments that should be solved are large and complicated enough to put the project groups in situations where one is forced to prioritise and handle limitations, especially in time.

Intended learning outcomes

On completion of the course, the student should be able to

  1. implement and integrate software components for robots
  2. solve an assignment in robotics with limited resources

in order to

  • be able to work with autonomous and other complex systems in research and/or development
  • improve the skills of planning and carrying out development work in project groups.

Literature and preparations

Specific prerequisites

Completed course equivalent to DD2410.

Active participation in a course offering where the final examination is not yet reported in LADOK is considered equivalent to completion of the course.

Registering for a course is counted as active participation.

The term 'final examination' encompasses both the regular examination and the first re-examination.

Recommended prerequisites

DD2410 "Introduction to robotics" or equivalent

Bachelor degree or similar out of which 45 ECTS in mathematics or information technology.

English level B or equivalent


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Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F


  • INL1 - Project preparations, 0.5 credits, grading scale: P, F
  • INL2 - Project documentation, 1.0 credits, grading scale: P, F
  • PRO1 - Project work, 7.5 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Passing item INL1 is required before participatíng in the grupprojektarbetet (INL2 and PRO1).

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

Computer Science and Engineering

Education cycle

Second cycle

Add-on studies

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Patric Jensfelt (

Supplementary information

In this course, the EECS code of honor applies, see: