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

Will be distributed during the course.

Teaching methods

Five independent exercise works that are related to robotics, machine vision and collaboration between them.
Contact lessons that support the exercise works.

Student workload

Contact sessions: 28h
Independent studying

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.