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.
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.
Information per 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.
Information for Spring 2025 ROBPVT25 programme students
- Course location
KTH Campus
- Duration
- 14 Jan 2025 - 2 Jun 2025
- Periods
- P3 (4.5 hp), P4 (4.5 hp)
- Pace of study
33%
- Application code
60204
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Max: 45
- Target group
Open to students admitted to a master's programme as long as the course can be included in the programme.
- Planned modular schedule
- [object Object]
- Schedule
- Part of programme
Master's Programme, Embedded Systems, åk 2, INEL, Recommended
Master's Programme, Embedded Systems, åk 2, INMV, Recommended
Master's Programme, Embedded Systems, åk 2, INPF, Recommended
Master's Programme, Embedded Systems, åk 2, INSR, Recommended
Master's Programme, Industrial Engineering and Management, åk 1, MAIG, Conditionally Elective
Master's Programme, Machine Learning, åk 1, Conditionally Elective
Master's Programme, Mechatronics, åk 1, Conditionally Elective
Master's Programme, Systems, Control and Robotics, åk 1, Recommended
Master's Programme, Systems, Control and Robotics, åk 1, RASM, Conditionally Elective
Master's Programme, Systems, Control and Robotics, åk 2, Recommended
Master's Programme, Systems, Control and Robotics, åk 2, RASM, Conditionally Elective
Contact
Patric Jensfelt (patric@kth.se)
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus DD2419 (Spring 2025–)Headings with content from the Course syllabus DD2419 (Spring 2025–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
On completion of the course, the student should be able to
- implement and integrate software components for robots
- 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
Knowledge of introductory robotics, 7.5 credits, equivalent to completed course DD2410
or that the student meets the following three requirements:
- knowledge and skills in programming, 6 credits, equivalent to completed course DD1337/DD1310-DD1319/DD1321/DD1331/DD100N/ID1018
- knowledge of algorithms and data structures, 6 credits, equivalent to completed course DD1338/ID1020/ID1021/DD1320-DD1328
- additional skills in independent software development, 30 credits, in addition to the above-mentioned courses, from completed courses in computer science, computer technology or numerical methods with laboratory elements that are not carried out in groups larger than two people.
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
Equipment
No information inserted
Literature
No information inserted
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
P, F
Examination
- 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
No information inserted
Opportunity to raise an approved grade via renewed examination
No information inserted
Examiner
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
No information inserted
Contact
Patric Jensfelt (patric@kth.se)
Supplementary information
In this course, the EECS code of honor applies, see:
http://www.kth.se/en/eecs/utbildning/hederskodex