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Robotics (4 cr)

Code: AE00CM86-3003

General information


Enrollment

11.11.2024 - 15.01.2025

Timing

07.01.2025 - 23.02.2025

Credits

4 op

Teaching languages

  • English

Degree programmes

  • Professional Studies in Technology
  • Bachelor of Engineering, Automation Engineering

Teachers

  • Jarkko Pakkanen

Student groups

  • AE22
    Bachelor of Engineering, Automation Engineering
  • IEPIP24
    International Professional Studies

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.

Evaluation scale

1-5

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.

Assessment methods and criteria

Written examination (50%) and robot programming examination (50%).
The course grade scales between 1-5.

Assessment criteria, satisfactory (1)

Student has not passed theoretical or practical exam.

Assessment criteria, good (3)

The student has completed the assignments/sections assigned approvingly. The student knows and mastered to a satisfactory degree the basic concepts and methods associated with the subject.

Assessment criteria, excellent (5)

The student has completed the assignments/sections and actively participated in the course. Students are familiar with the basic concepts and methods involved and are able to apply them when solving normal questions. The student is able to combine what he/she has learned with his previous experience in the subject matter.

Assessment criteria, approved/failed

The student has completed the assignments/sections and actively participated in the course. Students are familiar with the basic concepts and methods involved and are able to apply them when solving normal questions. The student has demonstrated the ability to create new meanings and ideas within the framework of the subject, applying what he/she has previously learned.