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FDD3356 System Integration for Robotics 7.5 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus FDD3356 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

To build complex systems as robots requires knowledge and expertise within many different fields. The aim of this course is to let the students build a robot system or a subsystem that they should not be able to make alone and to train to integrate different components. It is assumed that the components that are integrated are different enough to create a significant challenge of integration.

Each participating student must be an expert within one of the core areas in the project i.e., the student can contribute with expertise to the project. No student may be expert within all core areas in the project since this should imply that cooperation is not strictly necessary.

In most cases, the integration work will be about an implementation on a real robot system. The project will ideally result in some form of a demonstrator that can be used to illustrate how the research that is carried out by the participating students can be used in practice, in communicating both with other researchers and the society in general.

In the beginning of the course a project proposal is written. This is made in the group. Each student has to present the proposal orally and be able to argue for the project and his or her participation in it. During the work, the students should log their work, so that a deeper analysis will be possible to do at the end of the project. Leverables typically include demos, and must include a popular presentation in some form. To complete the course, each student should write an individual reflection where learning, group assignment, outcomes of planning, etc are reflected about.

Intended learning outcomes

After passing the course, the student should be able to:

* write, present and defend a project proposal

* plan and carry out advanced system integration in a robotics project

* present his or her work for different audiences by preparing both popular and technical presentations and adapt content and format to audience

* review critically own work and the work of other´s within the project.

In addition to this, the student will have got:

* a deeper understanding of limitations for a set of components in a robotic system

* practical experience of working with subsystems outside his or her own expertise

* experience of how large part the integration work is of building a whole system and that it also implies difficult technical challenges in itself.

Course disposition

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Literature and preparations

Specific prerequisites

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Recommended prerequisites

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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


  • EXA1 - Examination, 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.

To pass the course the students need to

INL1: in the group write a project proposal including a motivation for the work and how each student contributes to it, what the delegation between the stduents will be, how the work will be performed. It should also described the intended learning outcomes for each student and how the work will fulfill these. In addition the proposal should list deliverables connected to the project. Each students should also present and defend the proposal orally.

PRO1: perform the project and write an individual reflection about the work and how the learning outcomes where met, make a popular science presentation, make a presentation for the department and deliver whatever deliverable that was outline in the proposal (a demo of some sort typically). 

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 web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web FDD3356

Offered by

Main field of study

This course does not belong to any Main field of study.

Education cycle

Third cycle

Add-on studies

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Patric Jensfelt, tel: 790 6731, e-post:

Postgraduate course

Postgraduate courses at EECS/Robotics, Perception and Learning