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DD2425 Robotics and Autonomous Systems 9.0 credits

Robotik och autonoma system

Advanced course in computer science focusing on the broad, inter-disciplinary field of robotics. Students in groups design, build and program their own autonomous robots for a contest between the groups.

  • Education cycle

    Second cycle

  • Main field of study

    Computer Science and Engineering

  • Grading scale

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

Course offerings

Autumn 18 Robots 18 for programme students FULL

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.

Course main content

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.

Eligibility

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.

Literature

Meddelas senast 4 veckor före kursstart på kursens hemsida.

Examination

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

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.

Offered by

EECS/Intelligent Systems

Contact

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

Examiner

Patric Jensfelt <patric@kth.se>

Supplementary information

The number of participants is limited!

Version

Course syllabus valid from: Spring 2019.
Examination information valid from: Spring 2019.