Robotics (5 cr)
Code: TSAAA330-3002
General information
- Enrollment
-
01.11.2021 - 09.01.2022
Registration for the implementation has ended.
- Timing
-
01.01.2022 - 15.05.2022
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Face-to-face
- Unit
- School of Technology
- Campus
- Main Campus
- Teaching languages
- Finnish
- Degree programmes
- Bachelor's Degree Programme in Electrical and Automation Engineering
Evaluation scale
0-5
Objective
Student knows different kind of structures, programming and simulation concerning robotics and recognizes and is able to apply the design criteria in robotics. Student is able to apply different kind of robots with their additional equipment and considers the safety aspects, data interfaces and other environmental issues and opportunities.
EA-EN: Engineering analysis
Student recognises problem of the material handling or other application task and can solve the problem using robotics.
EA-EE: Engineering design
Student can choose correct tools in simulation programs and development environments to solve the issues in the application. Student can design automation of the robot cell using tools in development environments.
EA-ER: Engineering practice
Student can choose robot, additional equipment and programs to the application. Student have knowledge of restrictions in the equipment and programs.
Content
Basics of robotics
Robot programming
Robot sensoring
Robot applications
Interfaces to other devices and systems
Grippers and other tools
Safety and co-operation robotics (cobotics)
Robot as part of a cell
Materials
Lecture material
Additional material from literature and internet
For example https://www.amazon.com/Industrial-robots-cobots-Everything-co-worker-ebook/dp/B07L7N7JG6
Teaching methods
Contact teaching focuses on robotics theory and practical exercises. The implementation also includes plenty of group assignments in laboratory and independently made exercises to be returned. In short, implementation includes independent studying, working in groups and attending contact lessons
Student workload
A total of 135 hours of student work in the course, including about half of contact lessons and half of independent studying.
Assessment criteria, satisfactory (1)
Adequate (1): The student identify the basic knowledge and terminology but in the interpreting of the essential concepts the skills are still inadequate
Satisfactory (2): The student is familiar with the basic knowledge and terminology but in the application of the essential concepts the skills are still inadequate.
Assessment criteria, good (3)
Good (3): The student:
•knows basics of robotics, structures and applications
•can choose perfect robot solution to the application
•can utilize robot simulation program
•can develop robot softwares
Very good (4): The student masters the essential knowledge and can apply the knowledge.
Assessment criteria, excellent (5)
Excellent (5): The student masters the essential knowledge and can apply the knowledge acquired in a creative and innovative manner.
Qualifications
Basics of Automation Technology
Further information
Self-assessments and peer reviews are made within exercises and learning tasks. The assessment decision is based on the exercises to be returned, laboratory work and exam.