Siirry suoraan sisältöön

Robotics safety solutions (1 cr)

Code: TSAR0500-3009

General information


Enrollment

01.08.2024 - 19.08.2024

Timing

01.08.2024 - 31.12.2024

Number of ECTS credits allocated

1 op

Mode of delivery

Face-to-face

Unit

School of Technology

Campus

Lutakko Campus

Teaching languages

  • English

Seats

20 - 35

Degree programmes

  • Bachelor's Degree Programme in Electrical and Automation Engineering

Teachers

  • Samppa Alanen

Groups

  • TAR22S1
    Bachelor's Degree Programme in Automation and Robotics
  • 05.11.2024 11:30 - 14:00, Robotics safety solutions TSAR0500-3009
  • 12.11.2024 11:30 - 14:00, Robotics safety solutions TSAR0500-3009
  • 19.11.2024 11:30 - 14:00, Robotics safety solutions TSAR0500-3009
  • 26.11.2024 11:30 - 14:00, Robotics safety solutions TSAR0500-3009
  • 03.12.2024 11:30 - 14:00, Robotics safety solutions TSAR0500-3009
  • 09.12.2024 12:30 - 15:00, Robotics safety solutions TSAR0500-3009

Objective

Main objectives for this course are acquiring knowledge in robot safety issues and solutions. Studying in this course require knowledge in fundamentals of technology. This course enables further studies of the subject in other courses.

EUR-ACE KNOWLEDGE AND UNDERSTANDING
Student identifies the key risks of a robotics application and understands how to prepare for them. Student is able to do risk assessment using simple working methods and relate to machine safety issues seriously.

Content

Typical risks/dangers in robot applications
Risk analysis and requirement specifications
Designing safety in robot application
Implementing safety functions

Oppimateriaali ja suositeltava kirjallisuus

Materials in the e-learning environment.

Teaching methods

- independent study
- distance learning
- webinars
- small group learning
- exercises
- learning tasks

Exam schedules

The possible date and method of the exam will be announced in the course opening.

Vaihtoehtoiset suoritustavat

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Student workload

One credit (1 Cr) corresponds to an average of 27 hours of work.

- lectures (remote/contact) 10h
- exercises and assignments 17h
Total 27h

Further information

The evaluation is based on the qualitative evaluation of the exam and exercise/assignments.

Evaluation scale

Pass/Fail

Assessment criteria, approved/failed

Approved (S): Student understands and recognizes the hazards associated with robotics. Student is able to use some risk assessment method to assess the magnitude of a risk. Student is familiar with safety device technology and can assess its suitability for the target.

Qualifications

Fundamentals in technology