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Mobile Robotics (5 cr)

Code: TX00DT04-3003

General information


Enrollment

02.05.2022 - 12.06.2022

Timing

22.08.2022 - 18.12.2022

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

School of Smart and Clean Solutions

Campus

Leiritie 1

Teaching languages

  • Finnish

Seats

0 - 50

Degree programmes

  • Electrical and Automation Engineering

Teachers

  • Timo Tuominen
  • Kristian Junno

Teacher in charge

Raisa Kallio

Groups

  • SA19S
    Automaatiotekniikan pääaine, syksyllä 2019 aloittaneet päiväopiskelijat
  • TXJ19S2A
    Automaatiotekniikan pääaine, syksyllä 2019 opintonsa aloittaneet monimuoto-opiskelijat

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.