Mobile Robotics (5 cr)
Code: TX00DT04-3006
General information
- Enrollment
-
01.05.2024 - 05.08.2024
Registration for the implementation has ended.
- Timing
-
21.10.2024 - 13.12.2024
Implementation has ended.
- 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
- Seats
- 20 - 30
- Degree programmes
- Electrical and Automation Engineering
Implementation has 9 reservations. Total duration of reservations is 29 h 15 min.
| Time | Topic | Location |
|---|---|---|
|
Tue 22.10.2024 time 17:00 - 20:15 (3 h 15 min) |
Mobiilirobotiikka TX00DT04-3006 |
MMB101
Auditorio 1 krs.
|
|
Thu 24.10.2024 time 17:00 - 20:15 (3 h 15 min) |
Mobiilirobotiikka TX00DT04-3006 |
MMB349
IT-Tila
|
|
Tue 29.10.2024 time 17:00 - 20:15 (3 h 15 min) |
Mobiilirobotiikka TX00DT04-3006 |
MMC330
Liikuntasali 1
MMC331 Liikuntasali 2 |
|
Thu 31.10.2024 time 17:00 - 20:15 (3 h 15 min) |
Mobiilirobotiikka TX00DT04-3006 |
MMB349
IT-Tila
|
|
Tue 05.11.2024 time 17:00 - 20:15 (3 h 15 min) |
Mobiilirobotiikka TX00DT04-3006 |
MMC330
Liikuntasali 1
MMC331 Liikuntasali 2 |
|
Thu 07.11.2024 time 17:00 - 20:15 (3 h 15 min) |
Mobiilirobotiikka TX00DT04-3006 |
MMB349
IT-Tila
|
|
Tue 12.11.2024 time 17:00 - 20:15 (3 h 15 min) |
Mobiilirobotiikka TX00DT04-3006 |
MMC330
Liikuntasali 1
MMC331 Liikuntasali 2 |
|
Thu 14.11.2024 time 17:00 - 20:15 (3 h 15 min) |
Mobiilirobotiikka TX00DT04-3006 |
MMC376.3
Automaatiolaboratorio 3, Robotiikka
|
|
Tue 19.11.2024 time 17:00 - 20:15 (3 h 15 min) |
Mobiilirobotiikka TX00DT04-3006 |
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
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