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Blekinge Institute of Technology
Department of Mathematics and Natural Science

Revision: 3
Reg.no: BTH-4.1.14-0256-2025


Course syllabus

Robotics

Robotics

6 credits (6 högskolepoäng)

Course code: ET2627
Main field of study: Electrical Engineering, Computer Science
Disciplinary domain: Technology
Education level: Second-cycle
Specialization: A1N - Second cycle, has only first-cycle course/s as entry requirements

Language of instruction: English
Applies from: 2025-10-22
Approved: 2025-10-22

1. Descision

This course is established by Dean 2023-05-15. The course syllabus is approved by Head of Department of Mathematics and Natural Science 2025-10-22 and applies from 2025-10-22.

2. Entry requirements

Admission to the course requires at least 15 completed credits in Mathematics and at least 20 completed credits in the main field of study Computer Science, Software Engineering or equivalent. English 6.

3. Objective and content

3.1 Objective

The aim of the course is for the student to acquire in-depth knowledge and skills in automatic control. Such knowledge is necessary to be able to work professionally with control engineering design tasks related to the fields of mechanical engineering, electrical engineering and computer engineering.

3.2 Content

  • Fundamentals of control engineering and modelling of control systems;
  • Simple modelling of arm robots and mobile robots;
  • Kinematics and Inverse Kinematics;
  • Movement and trajectory planning;
  • Easy dynamics and feedback;
  • The basics of sensors and measurement data processing, and actuators;
  • Localization methods and algorithms;
  • Robot operating systems.

4. Learning outcomes

The following learning outcomes are examined in the course:

4.1. Knowledge and understanding

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

  • demonstrate an understanding of modelling of simple mechanical systems;
  • demonstrate an understanding of kinematics and inverse kinematics;
  • demonstrate an understanding of movement, trajectory planning and optimization;
  • demonstrate an understanding of filtering, sensor fusion, localization algorithms;
  • demonstrate an understanding of robot operating systems;

Skills and abilities

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

  • analyse the kinematics and inverse kinematics of a robot;
  • analyse a robot's range of motion;
  • constructing robotic paths;
  • easily construct the algorithms for tracking;
  • use ROS for robot programming.

4.2. Judgement and approach

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

  • evaluate different robot solutions against set requirements and performance.

5. Learning activities

The course is given in the form of lectures, exercises and projects. Individual submissions, but can also be in groups, would be related to the theory part and will be presented orally and/or in writing. It can have a form of digital quizzes or equivalent. Grades will be defined for submissions.

6. Assessment and grading

Modes of examinations of the course

Code Module Credit Grade
2605 Written Assignment[1] 2.5 credits AF
2615 Project Assignment 3.5 credits GU

[1] Determines the final grade for the course, which will only be issued when all components have been approved.

The course will be graded A Excellent, B Very good, C Good, D Satisfactory, E Sufficient, FX Failed result, a little more work required, F Fail.

The examiner may carry out oral follow-up of written examinations.

The information before the start of the course states the assessment criteria and make explicit in which modes of examination that the learning outcomes are assessed.

An examiner can, after consulting the Disability Advisor at BTH, decide on a customized examination form for a student with a long-term disability to be provided with an examination equivalent to one given to a student who is not disabled.

7. Course evaluation

The course evaluation should be carried out in line with BTH:s course evaluation template and process.

8. Restrictions regarding degree

The course can form part of a degree but not together with another course the content of which completely or partly corresponds with the contents of this course.

9. Course literature and other materials of instruction

Material from the department

Reference litterateur
Sciavicco, Siciliano, “Modelling and Control of Robot Minipulators”, Springer, 2000,
ISBN 9781852332211.