Education

ROI Time

2 Months

Price from

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Our training solutions offer flexible automation options for your projects. Discover the diverse options from all areas!

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.