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Robotiikka (5 cr)

Code: TSAAA330-3001

General information


Enrollment

04.01.2021 - 10.01.2021

Timing

01.01.2021 - 16.05.2021

Number of ECTS credits allocated

5 op

Virtual portion

1 op

Mode of delivery

80 % Face-to-face, 20 % Online learning

Unit

Teknologiayksikkö

Campus

Pääkampus

Teaching languages

  • Finnish

Seats

0 - 30

Degree programmes

  • Sähkö- ja automaatiotekniikka (AMK)

Teachers

  • Markku Ström
  • Juho Riekkinen

Groups

  • TSA19SA
    Sähkö- ja automaatiotekniikka

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

Oppimateriaali ja suositeltava kirjallisuus

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.

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.

Evaluation scale

0-5

Arviointikriteerit, tyydyttävä (1-2)

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.

Arviointikriteerit, hyvä (3-4)

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