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DD2425 Robotics and Autonomous Systems 9.0 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus DD2425 (Spring 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

During the course a small, mobile, autonomous robot for performing certain tasks is built. This work is carried out in groups as a project. At the end of the course there is a contest between the robots that the participants have constructed.

The lecture part of the course deals with fundamental concepts in robotics.

The practical part of the course adds hands on experience with sensors, actuators, programming of systems and building of robots.

Intended learning outcomes

After completing the course the student should be able to

  1. recall basic concepts in robotics
  2. implement and integrate software components for robots
  3. solve a robotics task with limited resources
  4. identify and discuss ethical and societal aspects of robot technology

in order to

  • be able to work with autonomous and other complex systems in research and/or development
  • become better at planning, executing and developing work in project groups.

Literature and preparations

Specific prerequisites

Single course students: Bachelor of Science degree or equivalent including 45 university credits in Mathematics or Information Technology. Furthermore: English B, or equivalent. 

Recommended prerequisites

Knowledge in mathematics and programming.

Electronics, computer vision, control engineering, mechanics and computer technology is an advantage.

A very large part of the project consists of programming in C/C++ why experience of this is a big plus and knowledge of a language at least similar to C (as Java or C#) is a requirement.

Equipment

No information inserted

Literature

Meddelas senast 4 veckor före kursstart på kursens hemsida.

Examination and completion

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

Grading scale

A, B, C, D, E, FX, F

Examination

  • LAB1 - Laboratory Works, 0.5 credits, grading scale: P, F
  • PRO1 - Project, 5.5 credits, grading scale: P, F
  • TEN1 - Exam, 3.0 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.

In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see: http://www.kth.se/csc/student/hederskodex/1.17237?l=en_UK.

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, tel: 790 6731, e-post: patric@nada.kth.se

Supplementary information

This course is replaced by  dd2419. dd2425 will never be given again.

The number of participants is limited!