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
-
AE22Bachelor of Engineering, Automation Engineering
-
IEPIP24International 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.