This course syllabus is discontinued or replaced by a new course syllabus.

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School of Science and Technology

Course Syllabus


Computer Science, Robot Modelling and Control, Second Cycle, 7.5 Credits


Course Code: DT102A Subject Area: Field of Technology
Main Field of Study: Computer Science Credits: 7.5
    Subject Group (SCB): Computer Science
Education Cycle: Second Cycle Progression: A1N
Established: 2016-11-30 Last Approved: 2018-04-27
Valid from: Autumn semester 2017 Approved by: Head of School


Aims and Objectives

General aims for second cycle education

Second-cycle courses and study programmes shall involve the acquisition of specialist knowledge, competence and skills in relation to first-cycle courses and study programmes, and in addition to the requirements for first-cycle courses and study programmes shall
- further develop the ability of students to integrate and make autonomous use of their knowledge
- develop the students' ability to deal with complex phenomena, issues and situations, and
- develop the students' potential for professional activities that demand considerable autonomy, or for research and development work.

(Higher Education Act, Chapter 1, Section 9)

Course Objectives

Knowledge and Understanding
After completed studies, the student shall have specialised methodological knowledge within robotics and intelligent systems and be able to
- account for control schemes commonly used in modern robotic systems, and
- discuss control requirements in terms of controllability and stability.

Applied knowledge and skills
Completing this course, the student shall be able to
- demonstrate the ability to plan and, using appropriate methods, undertake advanced tasks within predetermined time frames,
- demonstrate the ability to clearly account for and discuss his or her conclusions, including the knowledge and the arguments that they are based on, and
- synthesize and tune control schemes for the robotic application at hand.

Judgment and Approach
After completed studies, the student shall be able to
- reason about limitations and advantages of different controllers in different application contexts.


Main Content of the Course

- Analysis of linear (and in part of nonlinear) systems,
- stability criteria,
- observability and controllability,
- common motion control schemes applied to robotic systems (PID control, linearization and decoupling, predictive control, passivity-based control), and
- overview of interaction control schemes (force control, impedance control).


Teaching Methods

The course is given in the form of lectures and project assignments

Students who have been admitted to and registered on a course have the right to receive tuition and/or supervision for the duration of the time period specified for the particular course to which they were accepted (see, the university's admission regulations (in Swedish)). After that, the right to receive tuition and/or supervision expires.


Examination Methods

Theory, 3 Credits. (Code: 0100)
Written exam.
A retake will be scheduled to take place within eleven weeks of the regular examination.
Practice, 4.5 Credits. (Code: 0200)
Written reports on project assignments.

For further information, see the university's local examination regulations (in Swedish).


Grades

According to the Higher Education Ordinance, Chapter 6, Section 18, a grade is to be awarded on the completion of a course, unless otherwise prescribed by the university. The university may prescribe which grading system shall apply. The grade is to be determined by a teacher specifically appointed by the university (an examiner).

According to regulations on grading systems for first- and second-cycle education (vice-chancellor's decision 2010-10-19, reg. no. CF 12-540/2010), one of the following grades is to be used: fail, pass, or pass with distinction. The vice-chancellor or a person appointed by the vice-chancellor may decide on exceptions from this provision for a specific course, if there are special reasons.

Grades used on course are Fail (U), Pass (G) or Pass with Distinction (VG).

Theory
Grades used are Fail (U) or Pass (G).
Practice
Grades used are Fail (U), Pass (G) or Pass with Distinction (VG).


The final mark of the course is given by the grade from the project part given that the exam is approved.
The course grading is translated to the ECTS grading scale.


For further information, see the university's local examination regulations (in Swedish).


Specific entry requirements

First-cycle degree of 180 credits, with Computer Science as the main field of study, and at least 15 credits in mathematics (analysis and algebra). The applicant must also have qualifications corresponding to the course "English B" or "English 6" from the Swedish Upper Secondary School.
OR
First-cycle degree of 180 credits, and at least 30 credits in mathematics (analysis and algebra), as well as at least 15 credits in Computer Science or Informatics (which includes programming). The applicant must also have qualifications corresponding to the course "English B" or "English 6" from the Swedish Upper Secondary School.

For further information, see the university's admission regulations (in Swedish).


Transfer of Credits for Previous Studies

Students who have previously completed higher education or other activities are, in accordance with the Higher Education Ordinance, entitled to have these credited towards the current programme, providing that the previous studies or activities meet certain criteria.


For further information, see the university's local credit transfer regulations (in Swedish).


Other Provisions

The course is given in English.


Reading List and Other Teaching Materials

Additional Reading

F. Lewis, D. M. Dawson and C. T. Abdallah (2003)
Robot Manipulator Control - Theory and Practice
CRC Press, , ISBN: 9780824740726, 638 pages


Additions and Comments on the Reading List

Ytterligare material kan utdelas under kursens gång.
Additional material may be awarded during the course.


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