Mobile Robotics (5 cr)
Code: TX00DT04-3009
General information
- Enrollment
-
02.12.2024 - 31.12.2024
Registration for the implementation has ended.
- Timing
-
17.03.2025 - 11.05.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Smart and Clean Solutions
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Degree programmes
- Electrical and Automation Engineering
- Teachers
- Timo Tuominen
- Kristian Junno
- Teacher in charge
- Raisa Kallio
- Groups
-
SA21SAutomaatiotekniikan pääaine, syksyllä 2021 aloittaneet päiväopiskelijat
-
SA22SAutomaatiotekniikan pääaine, syksyllä 2022 aloittaneet päiväopiskelijat
- Course
- TX00DT04
Implementation has 16 reservations. Total duration of reservations is 53 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 17.03.2025 time 11:00 - 14:00 (3 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMB235
Fysiikan Demolaboratorio
|
|
Thu 20.03.2025 time 08:00 - 11:00 (3 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMB349
IT-Tila
|
|
Thu 20.03.2025 time 12:00 - 15:00 (3 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMB249
IT-Tila
|
|
Mon 24.03.2025 time 08:00 - 11:00 (3 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMB249
IT-Tila
|
|
Mon 24.03.2025 time 11:00 - 14:00 (3 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMB249
IT-Tila
|
|
Tue 25.03.2025 time 12:00 - 16:00 (4 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMC330
Liikuntasali 1
MMC331 Liikuntasali 2 |
|
Mon 31.03.2025 time 08:00 - 11:00 (3 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMB249
IT-Tila
|
|
Mon 31.03.2025 time 11:00 - 14:00 (3 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMB249
IT-Tila
|
|
Tue 01.04.2025 time 12:00 - 16:00 (4 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMC330
Liikuntasali 1
MMC331 Liikuntasali 2 |
|
Mon 07.04.2025 time 08:00 - 11:00 (3 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMB249
IT-Tila
|
|
Mon 07.04.2025 time 11:00 - 14:00 (3 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMB249
IT-Tila
|
|
Tue 08.04.2025 time 12:00 - 16:00 (4 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMC330
Liikuntasali 1
MMC331 Liikuntasali 2 |
|
Mon 14.04.2025 time 08:00 - 11:00 (3 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMC376.3
Automaatiolaboratorio 3, Robotiikka
|
|
Mon 14.04.2025 time 11:00 - 14:00 (3 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMC376.3
Automaatiolaboratorio 3, Robotiikka
|
|
Tue 15.04.2025 time 12:00 - 16:00 (4 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMC330
Liikuntasali 1
MMC331 Liikuntasali 2 |
|
Tue 22.04.2025 time 09:00 - 13:00 (4 h 0 min) |
Mobiilirobotiikka TX00DT04-3009 |
MMC330
Liikuntasali 1
MMC331 Liikuntasali 2 |
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
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.