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Mobile Robotics (5 cr)

Code: TX00DT04-3007

General information


Enrollment
27.11.2023 - 31.12.2023
Registration for the implementation has ended.
Timing
18.03.2024 - 10.05.2024
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
Kristian Junno
Teacher in charge
Raisa Kallio
Groups
SA21S
Automaatiotekniikan pääaine, syksyllä 2021 aloittaneet päiväopiskelijat
Course
TX00DT04

Implementation has 19 reservations. Total duration of reservations is 66 h 0 min.

Time Topic Location
Tue 19.03.2024 time 11:00 - 13:00
(2 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMB101 Auditorio 1 krs.
Wed 20.03.2024 time 09:00 - 13:00
(4 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMC330 Liikuntasali 1
MMC331 Liikuntasali 2
Thu 21.03.2024 time 10:00 - 13:00
(3 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMB349 IT-Tila
Tue 26.03.2024 time 11:00 - 13:00
(2 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMB101 Auditorio 1 krs.
Wed 27.03.2024 time 10:00 - 14:00
(4 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMC330 Liikuntasali 1
MMC331 Liikuntasali 2
Thu 28.03.2024 time 10:00 - 13:00
(3 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMB349 IT-Tila
Wed 03.04.2024 time 10:00 - 14:00
(4 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMC330 Liikuntasali 1
MMC331 Liikuntasali 2
Mon 08.04.2024 time 10:00 - 14:00
(4 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMC330 Liikuntasali 1
MMC331 Liikuntasali 2
Tue 09.04.2024 time 10:00 - 13:00
(3 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMB349 IT-Tila
Wed 10.04.2024 time 10:00 - 14:00
(4 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMC330 Liikuntasali 1
MMC331 Liikuntasali 2
Thu 11.04.2024 time 12:00 - 15:00
(3 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMB349 IT-Tila
Mon 15.04.2024 time 10:00 - 14:00
(4 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMC330 Liikuntasali 1
MMC331 Liikuntasali 2
Tue 16.04.2024 time 10:00 - 13:00
(3 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMB349 IT-Tila
Wed 17.04.2024 time 09:00 - 13:00
(4 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMC330 Liikuntasali 1
MMC331 Liikuntasali 2
Thu 18.04.2024 time 12:00 - 15:00
(3 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMB349 IT-Tila
Mon 22.04.2024 time 10:00 - 14:00
(4 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMC330 Liikuntasali 1
MMC331 Liikuntasali 2
Tue 23.04.2024 time 09:00 - 13:00
(4 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMC376.3 Automaatiolaboratorio 3, Robotiikka
Fri 26.04.2024 time 08:00 - 12:00
(4 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMC376.3 Automaatiolaboratorio 3, Robotiikka
Fri 26.04.2024 time 12:00 - 16:00
(4 h 0 min)
Mobiilirobotiikka TX00DT04-3007
MMC376.3 Automaatiolaboratorio 3, Robotiikka
Changes to reservations may be possible.

Objective

- Mobilerobots in industrial automation
- Mobilerobot structures and sensors
- Safety systems
- ROS-operating system, possibilities and applications.
- Wireless sensors
- Drone regulations and safety usage
- How to use drones

Content

- Mobile robots and automated guided vehicles ( AGV)
- Safety of mobile robotics , LIDAR
- ROS-operating system
- Wireless sensors
- Drones

Materials

- Lecture material

Teaching methods

- Lectures
- PC exercises
- Lab works

Student workload

Amount of work 5 ECTS = 135 hour

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.

Assessment criteria, approved/failed

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 methods and criteria

Two teachers share points in proportion to the teaching resource. 30% of the points must be obtained from each teacher's section
The grade is formed as follows
17 - 23,5 --> 1
24 - 29,5 --> 2
30 - 36,5 --> 3
37 - 43,5 --> 4
44 - 51 --> 5

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