Course
Applied Robot Technology (ELE610)
The course is split into 2 parts: Image acquisition including image processing in Python, Robotstudio for robot control.
Dette er emnebeskrivelsen for studieåret 2022-2023. Merk at det kan komme endringer.
Semesters
Fakta
Emnekode
ELE610
Vekting (stp)
10
Semester undervisningsstart
Spring
Undervisningsspråk
English, Norwegian
Antall semestre
1
Vurderingssemester
Spring
Timeplan
Litteratur
Content
This course gives an introduction to robot control and control of tools and sensors used in a robotic system. The course has two equal sized parts with 4 assignments in each part. The first part uses an image acquisition test rig 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. Finally, in a larger assignment, the two previous parts shall be combined to locate pucks using a camera and pick and place the pucks using the robot. These tasks are controlled from a PC programmed with Python.
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 the Python programming language to capture and process images and to communicate with an industrial robot.
Forkunnskapskrav
HSE-course for master students (TN501)
Exam
| Form of assessment | Weight | Duration | Marks | Aid | Exam system | Withdrawal deadline | Exam date |
|---|---|---|---|---|---|---|---|
| 9 compulsory laboratory exercises | 1/1 | Passed / Not Passed | — | — | — |
All assignments must be passed to pass the course. No exam or resit exam.
Vilkår for å gå opp til eksamen/vurdering
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.
Fagperson(er)
Course coordinator:
Karl SkrettingStudy Program Director:
Tormod DrengstigCourse teacher:
Morten MossigeLaboratory Engineer:
Ståle FreyerHead of Department:
Tom RyenLaboratory Engineer:
Asbjørn StokkaMethod 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
| Emne | Reduksjon (SP) |
|---|---|
| Applied Robot Technology (ELE610_1) , Applied signal processing (MIK200_1) | 3 |
Åpent for
Exchange programme at Faculty of Science and Technology
Emneevaluering
Form and/or discussion.
The course description is retrieved from FS (Felles studentsystem). Version 1