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Service Robotics (15 ECTS)

Code: TX00CM56-3002

General information


Enrollment
01.12.2018 - 31.12.2018
Registration for the implementation has ended.
Timing
14.01.2019 - 17.03.2019
Implementation has ended.
Number of ECTS credits allocated
15 ECTS
Mode of delivery
On-campus
Campus
Leiritie 1
Teaching languages
Finnish
Degree programmes
Electrical and Automation Engineering
No reservations found for implementation TX00CM56-3002!

Learning outcomes

- Student knows 3d cad-systems possibilities and applications.
- Student can make 3d-model and simulate the action.
- Student can make kinematic calculations.
- Student knows most common structures of service robots. Student is acquainted with realizing robotic projects and knows various types of service robotic solutions. Student knows possibilities of service robots.
- Student can prepare on-line programs for robots in automation laboratory. Student is able to simulate robot cells and plan robot programs with simulation systems in automation laboratory.
- Student knows the structure of Machine Vision Systems and Principles of Lighting. Student understands principles of most common Image Processing and Analyzing Methods.
- Student can use embedded systems to control and communicate with other devices.
- Student knows principles of mobile robotics safety.

Content

1. Using 3D-CAD system in mechatronics
2. Kinematics and control in mechatronics
3. Service Robot structures, safety systems, sensors and end-of-arm tooling
4. Service Robot programming and simulation
5. Principles and essential Components of Machine Vision Systems in mobile applications
6. Free navigation
7. M2M-communication
8. Embedded systems in mechatronics
9. Inherent Safety

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.

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