Mobile Robotics (5 cr)

Code: TX00DT04-3005

General information

Enrollment: 01.05.2023 - 08.06.2023
Registration for the implementation has ended.

Timing: 23.10.2023 - 15.12.2023
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

Degree programmes: Electrical and Automation Engineering

Teachers: Timo Tuominen; Kristian Junno

Teacher in charge: Raisa Kallio

Course: TX00DT04

Implementation has 9 reservations. Total duration of reservations is 34 h 30 min.

Time	Topic	Location
Wed 25.10.2023 time 17:00 - 20:15 (3 h 15 min)	Mobiilirobotiikka TX00DT04-3005	MMB235 Fysiikan Demolaboratorio
Sat 28.10.2023 time 09:00 - 14:00 (5 h 0 min)	Mobiilirobotiikka TX00DT04-3005	MMC330 Liikuntasali 1 MMC331 Liikuntasali 2
Wed 01.11.2023 time 17:00 - 20:15 (3 h 15 min)	Mobiilirobotiikka TX00DT04-3005	MMB349 IT-Tila
Thu 02.11.2023 time 12:00 - 17:00 (5 h 0 min)	Mobiilirobotiikka TX00DT04-3005	MMC330 Liikuntasali 1 MMC331 Liikuntasali 2
Wed 08.11.2023 time 17:00 - 20:15 (3 h 15 min)	Mobiilirobotiikka TX00DT04-3005
Sat 11.11.2023 time 09:00 - 14:00 (5 h 0 min)	Mobiilirobotiikka TX00DT04-3005	MMC330 Liikuntasali 1 MMC331 Liikuntasali 2
Wed 15.11.2023 time 17:00 - 20:15 (3 h 15 min)	Mobiilirobotiikka TX00DT04-3005	MMC376.3 Automaatiolaboratorio 3, Robotiikka
Wed 22.11.2023 time 17:00 - 20:15 (3 h 15 min)	Mobiilirobotiikka TX00DT04-3005	MMB349 IT-Tila
Wed 29.11.2023 time 17:00 - 20:15 (3 h 15 min)	Mobiilirobotiikka TX00DT04-3005	MMB349 IT-Tila

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

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.