Service Robotics (5 cr)

Objective

Student knows most common structures 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 Machine Vision Systems in Automation Laboratory and their Image Processing Algorithms to Object Recognition, Classification and Quality Control applications.

Content

1. Cobot and servicerobot use in industry
2. Robot structures, safety systems, sensors and end-of-arm tooling
3. Robot programming and simulation
4. Robot kinematics and control
5. Principles and essential Components of Machine Vision Systems
6. Methods used in Pattern Recognition, Object Recognition with Segmentation, Feature Detection and Classification
7. Industrial Machine Vision Applications
8. Coordinate systems and coordinate transforms using matrices

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