Carlos Alberto Olvera-Olvera
Universidad Autónoma de Zacatecas "Francisco García Salinas"
Papers
1
Total Citations
16
H-Index
1
About
Carlos Alberto Olvera-Olvera is a leading voice in the convergence of educational technology and mechatronics, with a primary focus on developing active learning systems that prepare students for the digital transformation of industry. His most cited work, "Educational Mechatronics Training System Based on Computer Vision for Mobile Robots" (2023, 16 citations), exemplifies his core contribution: creating hands-on, technology-driven training platforms that bridge theoretical knowledge with real-world robotics applications. By integrating computer vision into mobile robot curricula, Olvera-Olvera addresses the critical need for flexible, industry-relevant education in the context of global digital shifts. His research directly supports the development of next-generation engineers capable of navigating complex, automated environments. Through this and related efforts, he is shaping the future of STEM pedagogy, ensuring that students gain practical, scalable skills in mechatronics and automation. Olvera-Olvera’s work stands as a vital resource for educators and researchers seeking to modernize engineering training for the demands of the 21st-century workforce.
Research Focus
Key Achievements
Top Papers
- 1