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RoboticsLaajuus (4 cr)

Code: 8A00CK76

Objective

Upon completion of the course, students will:
- be knowledgeable of various types of robots
- will be capable of inspecting robots and know how to use robots in factory automation and other areas where robotics are used.
- understand the structure, properties, co-ordinates of robots, as well as the peripheral devices used in robots.
- be competent in handling and programming industrial-, collaborative- and mobile robots using online and offline methods of programming.
- be competent in designing and selecting robots and peripheral devices for the automatic handling of products.

Content

- Types of robots
- Mechanical structure of industrial robots
- Control systems, properties, coordinates and peripheral devices
- Handling an ABB-, Fanuc- and Yaskawa industrial robots, online and offline programming
- Features of collaborative robotics and programming of Universal Robots collaborative robots
- Mobile robotics applications and programming with Omron mobile robot
- Application of sensor technology and artificial intelligence in robotics. Application of machine vision in robotics.

Qualifications

No previous studies are required

Assessment criteria, satisfactory (1)

Rating 1 Students master the learning outcomes satisfactorily. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs.

Assessment criteria, good (3)

Rating 3 Students master the learning outcomes as well. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it.

Assessment criteria, excellent (5)

Rating 5 Students master the learning outcomes to be commended. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it. The student is able to apply actuators that can be connected to a robot and is able to utilize machine vision.

Materials

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

Further information

The issues of automation technology are internationally similar.

Enrollment

22.04.2024 - 09.10.2024

Timing

21.10.2024 - 18.12.2024

Credits

4 op

Teaching languages
  • Finnish
  • English
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jarkko Pakkanen
Student groups
  • AUTE22KA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Upon completion of the course, students will:
- be knowledgeable of various types of robots
- will be capable of inspecting robots and know how to use robots in factory automation and other areas where robotics are used.
- understand the structure, properties, co-ordinates of robots, as well as the peripheral devices used in robots.
- be competent in handling and programming industrial-, collaborative- and mobile robots using online and offline methods of programming.
- be competent in designing and selecting robots and peripheral devices for the automatic handling of products.

Content

- Types of robots
- Mechanical structure of industrial robots
- Control systems, properties, coordinates and peripheral devices
- Handling an ABB-, Fanuc- and Yaskawa industrial robots, online and offline programming
- Features of collaborative robotics and programming of Universal Robots collaborative robots
- Mobile robotics applications and programming with Omron mobile robot
- Application of sensor technology and artificial intelligence in robotics. Application of machine vision in robotics.

Materials

Lecture material, Lecture demonstrations, Assignments, Product and programming manuals,
Book: Teollisuuden robotiikka.: Suomen Robotiikkayhdistys ry, 2023. (in Finnish)

Teaching methods

Lectures, robot programming exercises in simulaltion environment, 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 Students master the learning outcomes satisfactorily. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs.

Assessment criteria, good (3)

Rating 3 Students master the learning outcomes as well. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it.

Assessment criteria, excellent (5)

Rating 5 Students master the learning outcomes to be commended. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it. The student is able to apply actuators that can be connected to a robot and is able to utilize machine vision.

Assessment methods and criteria

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

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.

Qualifications

No previous studies are required

Further information

The issues of automation technology are internationally similar.

Enrollment

22.04.2024 - 09.10.2024

Timing

21.10.2024 - 18.12.2024

Credits

4 op

Teaching languages
  • Finnish
  • English
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jarkko Pakkanen
Student groups
  • AUTE22SA
    Degree Programme in Automation Engineering, Full-time studies

Objective

Upon completion of the course, students will:
- be knowledgeable of various types of robots
- will be capable of inspecting robots and know how to use robots in factory automation and other areas where robotics are used.
- understand the structure, properties, co-ordinates of robots, as well as the peripheral devices used in robots.
- be competent in handling and programming industrial-, collaborative- and mobile robots using online and offline methods of programming.
- be competent in designing and selecting robots and peripheral devices for the automatic handling of products.

Content

- Types of robots
- Mechanical structure of industrial robots
- Control systems, properties, coordinates and peripheral devices
- Handling an ABB-, Fanuc- and Yaskawa industrial robots, online and offline programming
- Features of collaborative robotics and programming of Universal Robots collaborative robots
- Mobile robotics applications and programming with Omron mobile robot
- Application of sensor technology and artificial intelligence in robotics. Application of machine vision in robotics.

Materials

Lecture material, Lecture demonstrations, Assignments, Product and programming manuals,
Book: Teollisuuden robotiikka.: Suomen Robotiikkayhdistys ry, 2023. (in Finnish)

Teaching methods

Lectures, robot programming exercises in simulaltion environment, 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 Students master the learning outcomes satisfactorily. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs.

Assessment criteria, good (3)

Rating 3 Students master the learning outcomes as well. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it.

Assessment criteria, excellent (5)

Rating 5 Students master the learning outcomes to be commended. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it. The student is able to apply actuators that can be connected to a robot and is able to utilize machine vision.

Assessment methods and criteria

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

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.

Qualifications

No previous studies are required

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 11.10.2023

Timing

04.12.2023 - 25.02.2024

Credits

4 op

Teaching languages
  • Finnish
  • English
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jarkko Pakkanen
Student groups
  • MAUTE21

Objective

Upon completion of the course, students will:
- be knowledgeable of various types of robots
- will be capable of inspecting robots and know how to use robots in factory automation and other areas where robotics are used.
- understand the structure, properties, co-ordinates of robots, as well as the peripheral devices used in robots.
- be competent in handling and programming industrial-, collaborative- and mobile robots using online and offline methods of programming.
- be competent in designing and selecting robots and peripheral devices for the automatic handling of products.

Content

- Types of robots
- Mechanical structure of industrial robots
- Control systems, properties, coordinates and peripheral devices
- Handling an ABB-, Fanuc- and Yaskawa industrial robots, online and offline programming
- Features of collaborative robotics and programming of Universal Robots collaborative robots
- Mobile robotics applications and programming with Omron mobile robot
- Application of sensor technology and artificial intelligence in robotics. Application of machine vision in robotics.

Materials

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

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Rating 1 Students master the learning outcomes satisfactorily. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs.

Assessment criteria, good (3)

Rating 3 Students master the learning outcomes as well. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it.

Assessment criteria, excellent (5)

Rating 5 Students master the learning outcomes to be commended. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it. The student is able to apply actuators that can be connected to a robot and is able to utilize machine vision.

Qualifications

No previous studies are required

Further information

The issues of automation technology are internationally similar.

Enrollment

17.04.2023 - 11.10.2023

Timing

23.10.2023 - 17.12.2023

Credits

4 op

Teaching languages
  • Finnish
  • English
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jarkko Pakkanen
Student groups
  • AUTE21SA

Objective

Upon completion of the course, students will:
- be knowledgeable of various types of robots
- will be capable of inspecting robots and know how to use robots in factory automation and other areas where robotics are used.
- understand the structure, properties, co-ordinates of robots, as well as the peripheral devices used in robots.
- be competent in handling and programming industrial-, collaborative- and mobile robots using online and offline methods of programming.
- be competent in designing and selecting robots and peripheral devices for the automatic handling of products.

Content

- Types of robots
- Mechanical structure of industrial robots
- Control systems, properties, coordinates and peripheral devices
- Handling an ABB-, Fanuc- and Yaskawa industrial robots, online and offline programming
- Features of collaborative robotics and programming of Universal Robots collaborative robots
- Mobile robotics applications and programming with Omron mobile robot
- Application of sensor technology and artificial intelligence in robotics. Application of machine vision in robotics.

Materials

Lecture material, Lecture demonstrations, Assignments, Product and programming manuals,
Book: Teollisuuden robotiikka.: Suomen Robotiikkayhdistys ry, 2023. (in Finnish)

Teaching methods

Lectures, robot programming exercises in simulaltion environment, 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 Students master the learning outcomes satisfactorily. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs.

Assessment criteria, good (3)

Rating 3 Students master the learning outcomes as well. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it.

Assessment criteria, excellent (5)

Rating 5 Students master the learning outcomes to be commended. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it. The student is able to apply actuators that can be connected to a robot and is able to utilize machine vision.

Assessment methods and criteria

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

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.

Qualifications

No previous studies are required

Further information

The issues of automation technology are internationally similar.

Enrollment

14.11.2022 - 15.01.2023

Timing

09.01.2023 - 26.02.2023

Credits

4 op

Teaching languages
  • Finnish
  • English
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Jarkko Pakkanen
Student groups
  • AUTE20SA

Objective

Upon completion of the course, students will:
- be knowledgeable of various types of robots
- will be capable of inspecting robots and know how to use robots in factory automation and other areas where robotics are used.
- understand the structure, properties, co-ordinates of robots, as well as the peripheral devices used in robots.
- be competent in handling and programming industrial-, collaborative- and mobile robots using online and offline methods of programming.
- be competent in designing and selecting robots and peripheral devices for the automatic handling of products.

Content

- Types of robots
- Mechanical structure of industrial robots
- Control systems, properties, coordinates and peripheral devices
- Handling an ABB-, Fanuc- and Yaskawa industrial robots, online and offline programming
- Features of collaborative robotics and programming of Universal Robots collaborative robots
- Mobile robotics applications and programming with Omron mobile robot
- Application of sensor technology and artificial intelligence in robotics. Application of machine vision in robotics.

Teaching methods

Lectures, robot programming exercises in simulaltion environment, laboratory assignments with ABB, Fanuc, Yaskawa, Omron (mobile) and Universal robots.

Completion alternatives

- Lecturer's material
- Demonstrations during lectures
- Assignments
- Product and programming manuals from importers
- Kuivanen R. Robotiikka. Suomen Robottiyhdistys Ry

Student workload

A total of 100 hours studying, which includes 20 hours of classroom education and 15 hours of laboratory assignments.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Rating 1 Students master the learning outcomes satisfactorily. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs.

Assessment criteria, good (3)

Rating 3 Students master the learning outcomes as well. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it.

Assessment criteria, excellent (5)

Rating 5 Students master the learning outcomes to be commended. The student knows the structure, features, coordinate systems, accessories used in robots. In addition, he/she knows how to use and run programs. The student is able to make a program for an industrial robot and test it. The student is able to apply actuators that can be connected to a robot and is able to utilize machine vision.

Assessment methods and criteria

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

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. He/She 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. He/She has demonstrated the ability to create new meanings and ideas within the framework of the subject, applying what he/she has previously learned.

Qualifications

No previous studies are required

Further information

The issues of automation technology are internationally similar.