Basics of Robotics (5 cr)

Code: TX00DS99-3007

General information

Enrollment: 28.11.2022 - 31.12.2022
Registration for the implementation has ended.

Timing: 09.01.2023 - 05.05.2023
Implementation has ended.

Number of ECTS credits allocated: 5 cr

Local portion: 5 cr

Mode of delivery: On-campus

Unit: (2019-2024) Team Smart

Campus: Leiritie 1

Teaching languages: Finnish

Degree programmes: Electrical and Automation Engineering

Teachers: Timo Tuominen

Teacher in charge: Raisa Kallio

Groups: SA21S
Automaatiotekniikan pääaine, syksyllä 2021 aloittaneet päiväopiskelijat

Course: TX00DS99

Implementation has 4 reservations. Total duration of reservations is 13 h 0 min.

Time	Topic	Location
Mon 06.03.2023 time 09:00 - 12:00 (3 h 0 min)	Robotiikan perusteet TX00DS99-3007	MMC376.3 Automaatiolaboratorio 3, Robotiikka
Wed 08.03.2023 time 12:00 - 15:00 (3 h 0 min)	Robotiikan perusteet TX00DS99-3007	MMB101 Auditorio 1 krs.
Fri 10.03.2023 time 09:00 - 12:00 (3 h 0 min)	Robotiikan perusteet TX00DS99-3007	MMC376.3 Automaatiolaboratorio 3, Robotiikka
Fri 10.03.2023 time 12:00 - 16:00 (4 h 0 min)	Robotiikan perusteet TX00DS99-3007	MMC376.3 Automaatiolaboratorio 3, Robotiikka

Changes to reservations may be possible.

Objective

Student knows most common structures of industrial robots. Student is acquainted with realizing robotic projects and knows various types of robotic solutions. Student knows possibilities of robots in product handling.
Student can prepare on-line programs for robots in automation laboratory. Student is able to simulate robot cells and plan robot programs with simulation systems in automation laboratory.

Content

1. 3D-Cad modelling and printing techniques
2. Robots in industrial automation
3. Robot structures, safety systems, sensors and end-of-arm tooling
4. Robot programming and simulation
5. Robot kinematics and control

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may complete the remaining studies in electrical engineering and automation technology and finally work in a suitable job position related to this field.

Assessment criteria, good (3)

The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of electrical engineering and automation technology and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge study and work situations. Students are able to analyze the expertise in electrical engineering and automation technology and the evolvement of their own expertise.