The potential of AI in the creation of collaborative robots
We live in an era in which artificial intelligence (AI) has already become a key tool in multiple sectors. Education and vocational training are no exception, and within them, a field such as collaborative robotics can be especially benefited. At Egibide, we are beginning to take steps to integrate AI into our training programs, taking advantage of its many advantages and possibilities. One of the most notable changes that AI can bring about is the ability to personalize learning. Traditionally, teaching has been applied uniformly to all students, without considering their individual rhythms or needs. Through the application of AI, thanks to machine learning algorithms, it is possible to analyze the performance of each student and adapt the content to their level, reinforcing those areas in which they need more support. This not only makes the learning process more efficient, but also allows students to acquire competencies in a more autonomous and dynamic way.
Another great advantage is the possibility of real-time feedback. In a traditional system, students had to wait days or even weeks to know their results in evaluations. Today, AI systems can identify errors immediately and suggest improvements, allowing for more agile and effective learning. This is especially relevant in collaborative robotics, where accuracy and rapid error correction are critical to successful training.
AI has also enabled the creation of advanced simulation environments, which is crucial in a discipline such as robotics. The ability to practice in virtual scenarios without physical risks or high costs is a significant advance. Students can face realistic situations before interacting with a real robot, which improves their dexterity and confidence. In addition, these environments can dynamically adjust based on the student’s decisions, providing an immersive and personalized learning experience.
AI can also facilitate teamwork, analyzing group dynamics and suggesting improvements in task distribution, optimizing productivity and collaborative learning. However, we cannot talk about these innovations without considering their ethical implications. Data privacy, equity in access to technology and the need to maintain human oversight are key issues that must be addressed as these tools are implemented in education.
In short, AI is expected to redefine the education model in general and may transform the way we learn collaborative robotics. The opportunities it offers are enormous, and while there are challenges to overcome, what is certain is that we are witnessing a change that will shape the future of vocational and technological education.
Ainhoa Corcuera is Egibide’s Learning Coordinator and teacher of Automation and Industrial Robotics at Egibide.
