Production automation (5cr)

Evaluation scale

1-5

Objective

Student knows the principles of machine vision systems and can apply machine vision technology in industrial automation. Student can develop a production cell, which utilizes industrial robots and machine vision system. Student can utilize mobile and collaboration robotics in industrial automation.

Content

- Machine vision systems in manufacturing industry
- Robotics and its applications
- Robot simulation and offline programming
- Robot programming
- Collaborative robotics
- Mobile robotics

Materials

Opettajan jakama materiaali

Teaching methods

Kurssi jakautuu konenäön ja robotiikan osuuksiin.
Robotiikan osuus koostuu pääasiassa laboratorioharjoituksista. Konenäön osuudessa pyritään konenäön ja robotin yhteistyöhön ja laboratorioharjoituksia hyödynnetään opetusmenetelmänä mahdollisimman paljon. Tehtävämateriaalit jaetaan Moodlessa.

Student workload

Robotiikan osuus: laboratorioharjoituksia 16h + itsenäinen opiskelu.
Konenäön osuus: 14h lähiopetusta + itsenäisesti tehdyt laboratoriotyöt

Assessment criteria, satisfactory (1)

Student knows the basics of machine vision systems. Student knows how the industrial robots are used in industrial automation.

Assessment criteria, good (3)

Student knows the principles of machine systems and can apply machine vision technology in industrial automation. Student can develop a production cell, which utilizes industrial robots and machine vision system. Student can utilize mobile and collaboration robotics in industrial automation.

Assessment criteria, excellent (5)

Student have a good understanding of machine vision technology. Student can develop a production cell, which utilizes industrial robots and machine vision system. Student can utilize mobile and collaborative robotics in industrial automation.