Short course description
Short course description
Content of the short-term learning experience
Lectures:
- Presentation of the components and establishment of the FARO measuring system.
- Presentation of the CAM2 programming environment and overview of commands.
- Demonstration of measuring with a laser tracker.
Exercises:
- Preparing the FARO laser tracker for measurements.
- Preparation of the measurement protocol in the CAM2 software environment.
- Performing test measurements with the FARO laser tracker.
Coordinator of the short-term learning experience
Coordinator of the short-term learning experience
Assist. Prof. Dr. Janez Gotlih
Assist. Prof. Dr. Janez Gotlih teaches robotics at the Faculty of Mechanical Engineering and leads student exercises in numerous courses in the field of manufacturing technologies. Dr. Gotlih participates in student, industrial and research projects. He is active in societies, international collaborations and as an editor of scientific journals in the field of mechanical engineering. His research focuses on the development of intelligent manufacturing systems.
Other instructors
Other instructors
Assist. Rok Belšak
Assistant Rok Belšak at the Faculty of Mechanical Engineering leads calculations and practical exercises for industrial robotics, mechanics and dynamics in the mechatronics study programs at the first and second Bologna level. He passes on the experience he has gained in industry in the field of automation to the students through various practical exercises on industrial robots. As a PhD student at the Faculty of Mechanical Engineering, he is working on the development of advanced algorithms for kinesthetic learning of collaborative robots using laser sensors.
Objectives and competences
Objectives and competences
The objectives of the course are:
- present the measurement process with a laser tracker;
- present the software environment for preparing the measurement program;
- train students to perform measurements with a laser tracker
- train students to use the software environment for planning complex measurements.
The student will acquire the following general competences:
- the ability of individual creative thinking;
- the ability to do independent engineering and research work;
- independence, creativity, innovation and criticality;
- professional excellence.
Prerequisites for enrolling
Prerequisites for enrolling
Basic knowledge in mathematics, physics, mechanical engineering or computer science.
Preliminary agenda
Preliminary agenda
| Date | Time | Activity |
By agreement | 2 h | Lectures |
By agreement | 3 h | Computer exercises |
By agreement | 3 h | Practical exercises |
Course date
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Certificate
CONFIRMATION OF PARTICIPATION