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This is the study programme for 2019/2020. It is subject to change.


The course is split into 3 parts: Image acquisition, Robotstudio for robot control, and Choregraphe and Python programming for control of Nao robots.

Learning outcome

The student should know how to: 1) Calibrate and use both simple and advanced cameras to capture images and transfer them to the target platform. 2) Use an industrial robot (ABB) and make simple programs for it. 3) Use a NAO humanoid robot and make simple programs for it.

Contents

This course gives an introduction to robot control and control of tools and sensors used in a robotic system. The course has three equal sized parts with 3-4 assignments in each part. The first part uses an image acquisition testbench to take images and transfer them to the target platform in (near to) real time. The second part is focused on the programming of industrial robots (ABB robots). It gives an introduction to RobotStudio and RAPID programming. There will be both computer simulations as well as programming of physical robots. The third part is focused on the programming of humanoid robots (NAO robots). It gives an introduction to Choregraphe and Python programming. There will be both computer simulations as well as programming of physical robots.

Required prerequisite knowledge

None.

Exam

Weight Duration Marks Aid
12 compulsory laboratory exercises1/1 Pass - Fail
All assignments must be passed to pass the course.

Coursework requirements

Electronic Course in Health, Safety and Environment
Completion of mandatory lab assignments are to be made at the times and in the groups that are assigned and published. Absence due to illness or for other reasons must be communicated as soon as possible to the laboratory personnel. One cannot expect that provisions for completion of the lab assignments at other times are made unless prior arrangements with the laboratory personnel have been agreed upon.

Course teacher(s)

Course coordinator
Karl Skretting
Course teacher
Morten Mossige , Jon Fidjeland , Trygve Christian Eftestøl , Ståle Freyer
Study Program Director
Tormod Drengstig
Head of Department
Tom Ryen

Method of work

There will be 4 hours of laboratory sessions and up to 2 hours of lectures per week. Completion of mandatory lab assignments are to be made at the times and in the groups that are assigned and published at Canvas.

Overlapping courses

Course Reduction (SP)
Applied signal processing (MIK200_1) 3

Open to

Master studies at the Faculty of Science and Technology.

Course assessment

Form and/or discussion.

Literature

Without textbook. User manuals and Reference manuals.


This is the study programme for 2019/2020. It is subject to change.

Sist oppdatert: 17.10.2019