Robotics

Structure Type: Course
Code: KL25AB70400
Type: Compulsory
Level: Bachelor
Credits: 4.0 points
Responsible Teacher: Lehtonen, Martti
Language of Instruction: Finnish

Course Implementations, Planned Year of Study and Semester

Curriculum  Semester  Credits  Start of Semester  End of Semester
AUTE-2013KAUT   3 spring   4.0   2016-01-01   2016-07-31  
AUTE-2013SAUT   3 spring   4.0   2016-01-01   2016-07-31  
AUTE-2014KAUT   3 spring   4.0   2017-01-01   2017-07-31  
AUTE-2014SAUT   3 spring   4.0   2017-01-01   2017-07-31  
AUTE-2015KAUT   3 spring   4.0   2018-01-01   2018-07-31  
AUTE-2015SAUT   3 spring   4.0   2018-01-01   2018-07-31  
AUTE-2016KAUT   3 spring   4.0   2019-01-01   2019-07-31  
AUTE-2016SAUT   3 spring   4.0   2019-01-01   2019-07-31  

Learning Outcomes

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 co-ordinations of robots as well as the periphery devices used in robots. 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.

Student's Workload

A total of 104 hours classroom education, which includes 64 hours of laboratory exercises. 52 hours of self-study.

Prerequisites / Recommended Optional Courses

No previous studies are required.

Contents

Types of robots, Industrial robots: mechanical structure, control systems, features, co-ordinations ja periphery devices, Handling an ABB industrial robot and on- and offline programming, Handling a Motoma robot and online programming, Working with robots and practising programming in the labrotary

Recommended or Required Reading

Lecture material, Lecture demonstrations, Assignments, Product and programming manuals,
Risto Kuivanen: Robotiikka, Suomen Robottiyhdistys Ry. (Robotics)

Mode of Delivery / Planned Learning Activities and Teaching Methods

Lectures, Demonstrations, Assignments, Group work in the lab

Assessment Criteria

Rating 1 Students master the learning outcomes satisfactorily.
Rating 3 Students master the learning outcomes as well.
Rating 5 Students master the learning outcomes to be commended.

Assessment Methods

Assignments, Lab work, Written exam, Programming exam.

Work Placement

None

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