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

Logotype Örebro universitet

School of Science and Technology

Course Syllabus


Robot Technology, 7.5 Credits


Course Code: DT126G Subject Area: Field of Technology
Main Field of Study: Computer Science Credits: 7.5
    Subject Group (SCB): Computer Science
Education Cycle: First Cycle Progression: G1F
Established: 2016-11-30 Last Approved: 2017-03-30
Valid from: Autumn semester 2017 Approved by: Head of School


Aims and Objectives

General aims for first cycle education

First-cycle courses and study programmes shall develop:
- the ability of students to make independent and critical assessments
- the ability of students to identify, formulate and solve problems autonomously, and
- the preparedness of students to deal with changes in working life.

In addition to knowledge and skills in their field of study, students shall develop the ability to:
- gather and interpret information at a scholarly level
- stay abreast of the development of knowledge, and
- communicate their knowledge to others, including those who lack specialist knowledge in the field.

(Higher Education Act, Chapter 1, Section 8)

Course Objectives

Knowledge and understanding
The student should after completing the course be able to:
-give an overview of historical development of robot, their application areas and different types robots, and
-explain the design of robots (mechanics, sensors, actuators and control systems), programming, kinematics, dynamics, and control.

Skills and abilities
The student should after completing the course be able to:
-solve problem for industrial robots by applying theoretical knowledge, and
-program robots on a fundamental level.

Values an attitudes
The student should after completing the course be able to:
- explain the importance of safety thinking when using robots.


Main Content of the Course

The following topics are addressed:
- history of robotics,
- mechanical structures of different robotic systems,
- drives and control systems,
- sensors and sensor systems,
- safety when using robots,
- kinematics and dynamics,
- homogeneous transformations,
- motion planning,
- programming and applications,
- programming of industrial robots, and
- solving typical tasks in industrial robotics.


Teaching Methods

Teaching consists of lectures and laboratory exercises.

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, 4.5 Credits. (Code: 0100)
Written presentation of assignments.
Laboratory Work, 3 Credits. (Code: 0200)
Written and oral presentation of 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 3, 4, 5 or Fail (U).

Theory
Grades used are 3, 4, 5 or Fail (U).
Laboratory Work
Grades used are Fail (U) or Pass (G).

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


Specific entry requirements

Mathematics I, 7.5 credits, Mathematics II, 7.5 credits and Object Oriented Programming, 7.5 credits.

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 can be taught in English.


Reading List and Other Teaching Materials

Required Reading

Corke, Peter (2011)
Robotics, Vision and Contro: Fundamental algorithms in MATLAB (Springer tracts in Advanced Robotics, book 73)
Springer-Verlag Berlin and Heidelberg GmbH & Co. K

Additional Reading
Bolmsjö, Gunnar (2006)
Industriell Robotteknik
Studentlitteratur, ISBN 91-44-00848-1
Siciliano Bruno, Sciavicco Lorenzo ,Villani Luigi, Oriolo Guiseppe (2009)
Robotics: Modelling, Planning and Control (Advanced Textbooks in Control and Signal Processing)
Springer London Ltd


See this Course Syllabus as PDF