Robotics Laboratory Work (3cr)

Code

General information

Enrollment: 17.11.2025 - 08.01.2026; Registration for introductions has not started yet.

Timing: 12.01.2026 - 20.05.2026; The implementation has not yet started.

Number of ECTS credits allocated: 3 cr

Local portion: 3 cr

Mode of delivery: Face-to-face

Unit: School of Technology

Campus: Lutakko Campus

Teaching languages: English

Seats: 20 - 30

Degree programmes: Bachelor's Degree Programme in Automation and Robotics

Teachers: Markku Ström; Janne Viitaniemi

Groups: TAR23S1
Bachelor's Degree Programme in Automation and Robotics; TSA26VK
Sähkö- ja automaatiotekniikka (AMK), vaihto-opiskelu/Exchange studies

Course: TSAR0540

Unfortunately, no reservations were found for the realization Robotics Laboratory Work TSAR0540-3008. It's possible that the reservations have not yet been published or that the realization is intended to be completed independently.

Evaluation scale

Pass/Fail

Objective

Main objectives for this course are getting familiar with robot systems in laboratory environments. Studying in this course require knowledge in fundamentals of robotics, industrial robots, robot safety and robot programming.

EUR-ACE APPLYING TECHNOLOGY INTO PRACTICE
Student is able to design and implement solutions to tasks related to different areas of robotics in a systematic and safe manner, as well as analyze and report the results in writing.

EUR-ACE RESEARCH AND INFORMATION RETRIEVAL
Student is able to design and implement experimental research, interpret documents, other input data and results, as well as assess the compliance of the implementation and work in a hardware environment safely and in accordance with good practices.

Content

Applying theory in practice
Programming different types of robots
Safety testing and modifying of a robot program

Materials

- Instructions for laboratory exercises

Teaching methods

- Laboratory exercises
- Applied exercise
- Independent study
- Small group learning

Completion alternatives

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.

- laboratory exercises 41h
- applied exercise; group and independent study 40h
Total 81h

Assessment criteria, approved/failed

Approved (S): Student is able to design and implement tests related to different areas of robotics systematically and taking into account good work practices and occupational safety. Student is able to analyze and report the research results in writing.

Qualifications

Fundamentals in technology, knowledge of industrial robotics and safety, and programming skills.

Further information

The evaluation is based on the qualitative evaluation of the exercises/assignments.