Carlos Vazquez-Hurtado
Papers
6
Total Citations
22
H-Index
3
About
Carlos Vazquez-Hurtado is a leading researcher at the intersection of robotics, cyber-physical systems, and Industry 4.0 education. His work centers on developing accessible, simulation-driven tools for teaching complex automation and computer vision skills, with a particular focus on digital twins and virtual environments. His major contributions include pioneering an online assessment framework for robotics and vision using digital twins (5 citations), designing a single-actuated soft gripper with compliant mechanisms for handling fragile objects (4 citations), and integrating Lean Manufacturing principles into collaborative smart factory implementations (4 citations). Vazquez-Hurtado has also advanced educational methodologies by adapting Very Small Size Soccer competitions for virtual learning and developing customized mobile robots for teaching Cyber-Physical Systems. His research demonstrates a consistent commitment to bridging the gap between theoretical concepts and practical, hands-on learning, especially in remote and post-pandemic contexts. With over 20 citations across his most influential papers, Vazquez-Hurtado is recognized for making robotics and automation education more scalable, engaging, and aligned with the demands of modern industry.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design of a Single Actuated Soft Gripper with Compliant Mechanisms4 citations · 2022
- 3Work in progress: Lean Manufacturing in a Collaborative Smart Factory4 citations · 2022
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- 5
- 6