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Robotics (4 cr)

Code: AE00CM86-3001

General information


Enrollment
17.04.2023 - 06.09.2023
Registration for the implementation has ended.
Timing
23.10.2023 - 17.12.2023
Implementation has ended.
Number of ECTS credits allocated
4 cr
Local portion
4 cr
Mode of delivery
Contact learning
Unit
SeAMK Automation Engineering and Information Technology
Campus
SeAMK Seinäjoki, Frami
Teaching languages
English
Seats
0 - 35
Degree programmes
Bachelor of Engineering, Automation Engineering
Professional Studies in Technology
Teachers
Jarkko Pakkanen
Course
AE00CM86

Evaluation scale

1-5

Objective

Students will learn about various types of robots and examine robots and how to use them in factory automation and other areas where robots are needed. The will know the structure, features and coordinate systems of robots as well as the periphery devices used in robotics. Students will be competent in handling and programming industrial robots on- and offline. The course provides fundamental knowledge of robotics and an ability to design and select equipment for the automatic handling of products.

Content

Robots types, Industrial robots: mechanical structure, control systems, features, coordinate systems and periphery devices, Handling an ABB industrial robot and basic online programming. Handling a Yaskawa welding robot and programming in offline. Handling and programming Fanuc industrial robot using machine vision system. Working with collaborative robots in assembly tasks based on force sensing.

Materials

- Lecturer's material
- Demonstrations during lectures
- Assignments
- Product and programming manuals

Teaching methods

Lectures, exercises, laboratory assignments with ABB, Fanuc, Yaskawa, Omron (mobile) and Universal robots.

Student workload

A total of 100 hours studying, which includes 20 hours of classroom education and 20 hours of laboratory assignments.

Assessment criteria, satisfactory (1)

Rating 1-2 Students master the learning outcomes satisfactorily. Student has completed laboratory exercises and passed theory- and practical programming exams

Assessment criteria, good (3)

Rating 3-4 Students master the learning outcomes well. Students can apply lecture- and laboratory experiments in exam.

Assessment criteria, excellent (5)

Rating 5 Students master the learning outcomes to be commended. Students can apply lecture- and laboratory experiments in exam by showing deeper understanding of industrial robotics.

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