Robotics (4 cr)
Code: KC00CC75-3003
General information
Enrollment
13.11.2023 - 15.01.2024
Timing
08.01.2024 - 25.02.2024
Credits
4 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Engineering, Mechanical Engineering
Teachers
- Jarkko Pakkanen
Student groups
-
KONE20
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 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.
Evaluation scale
1-5
Assessment criteria, satisfactory (1)
Satisfactory (1...2): The student knows and understands to a basic concepts in robotics. The student is able to program simple movement command to ABB robot.
Assessment criteria, good (3)
Good (3...4): The student knows and understands to a basic concepts in robotics. The student is able to program simple movement command to ABB robot. The student is able to combine the accumulated knowledge in basic laboratory exercises.
Assessment criteria, excellent (5)
Excellent (5): The student knows and understands to a basic concepts in robotics. The student is able to program ABB and Motoman robots by using On- and Off-line programming methods.
Qualifications
No previous studies are required.