Task-based training using the Robotino® mobile robot system.
The mechatronic mobile robot system is an attractive innovative platform for implementing task-based training. The workbook contains many practical project exercises and provides an ideal guide for teaching a wide range of topics:
- Sensors
- Electrical drive technology
- Control technology
- Positioning and control of multi-axis systems
- Programming (symbolic/C++)
- Image processing
Instructor's handbook
480 pages, in binder. Consisting of:
- Instructions on how to use the mobile robot system during training
- Description of project exercises with worksheets
- Theory section
- Sample solutions
- Exercises allocated according to topic
- CD-ROM with programs for the project exercises
Student's handbook
250 pages, loose leaf. Consisting of:
- Description of project exercises with worksheets
- Theory section
M. Bliesener, Ch. Weber, K. Kling, U. Karras, D. Zitzmann
2007 Edition
For a range of job-specific training
The project exercises include virtually all topics, e.g. for training as an electronic technician for automation technology, industrial engineering or mechatronics.
Practical
All exercises are based on industry-relevant problems, e.g., an autonomously mobile transport system is to approach a rotary indexing table at various positions and deliver or remove workpieces.
Individual tasks specifically developed for the Robotino® laboratory system will guide you through the implementation. These are structured in such a way that students first experience and discover the new learning objective based on a very basic exercise, e.g., move the robot system forwards, and then gradually gain an understanding of integrated technologies.
Handouts
Pre-prepared worksheets help the students complete the tasks. There are also references for the instructor to the theory section, which are intended as a guide for preparing the material for the corresponding project exercise.
The teacher is provided with a sample solution for each exercise, which generally offers enough scope for further optimisation processes, e.g., what measures can be used to improve the positioning accuracy of the robot system and to what extent can this be accomplished?