3 things to consider when selecting automation materials for education
Choose educational automation tools that match learning levels, offer open programmability, and ensure durability and safety.
3 things to consider when selecting automation materials for education
Didactic suitability and complexity levels
Learning systems should be usable at different levels – from an introduction to robotics to complex automation solutions. Look for modular systems that grow with learning progress: e.g., simple pick-and-place tasks, later supplemented by vision systems or AI modules.
Open interfaces and programmability
Education thrives on openness. Systems should be compatible with common programming languages (e.g., Python, Blockly, ROS) and offer open APIs. This allows learners to implement their own ideas and program in a practical way – ideal for STEM subjects, project work, or competitions.
Robustness, safety, and low maintenance
In everyday school or university life, systems have to withstand a lot. Look for robust, maintenance-free components (e.g., drylin® plain bearings from igus), safe motion profiles, and intuitive user interfaces. This keeps the focus on learning – not on technology.
How to get started with your automation solution for education and training
Learn how to choose the right components and create a safe, hands-on environment for educational automation.
Define your target audience and learning objectives
Are you looking to teach basic skills, provide professional training, or conduct university research? What age group or prior knowledge are you working with?
Select suitable systems
On the RBTX marketplace, you will find complete learning sets, robot arms, controllers, sensors, and software—tailored to educational needs and budgets.
Use didactic material
Many systems come with learning modules, tasks, tutorials, and online courses. This allows teachers to get started right away—even without prior knowledge of robotics.
Integration into teaching
Whether as a project, elective subject, or extracurricular activity, automation can be flexibly integrated into existing curricula. igus and RBTX provide support in planning and implementation.
RBTXpert Conclusion
Many educators want to teach robotics but don’t know where to begin. Choose systems that grow with the learner. Beginners start with simple pick-and-place tasks, while advanced users integrate vision or AI modules. The technology should be openly programmable—like with Python or ROS—and durable enough for everyday classroom use. igus components are ideal: safe, low-maintenance, and ready to go. This turns theory into practice—and lessons into future skills.
Advantages of automation in education sector
Training with robots in the education enables hands-on learning and bridges theory with practice.
Higher motivation
Through practical applications, learning becomes more engaging, relevant, and future-ready.
Promotion of problem-solving skills and teamwork
Through practical applications, students develop essential problem-solving skills and foster teamwork, preparing them for real-world challenges in a technology-driven future.
Understanding of Industry 4.0, robotics, and digitization
Practical applications foster collaboration and critical thinking, equipping students with the skills and knowledge needed to thrive in the era of Industry 4.0, robotics, and digitization.
Direct applicability in training and work
By integrating robotics and digital technologies into hands-on learning, students not only explore the principles of Industry 4.0 but also build real-world problem-solving and collaboration skills—ensuring their knowledge is directly applicable in both modern training environments and the workplace.
Interdisciplinary learning (mechanics, electronics, computer science)
Interdisciplinary learning across mechanics, electronics, and computer science enables students to connect concepts, solve complex challenges, and understand the integrated nature of modern robotics and automation.
Get started, find your solution now!
INESC TEC
Space Team Aachen
igus GmbH
Dipl-Ing. Artur Wiebe
igus GmbH
RWTH Aachen
FH Bielefeld
igus GmbH
FAQ
Frequently asked questions about automation in education
What our clients & partners say about us
