Papers
2
Total Citations
241
H-Index
2
About
Carolina Reta is a leading researcher at the intersection of computer vision, extended reality (XR), and intelligent manufacturing. Her work is pivotal in advancing how machines perceive and interact with three-dimensional environments, with a strong focus on practical applications within Industry 4.0. Her most influential contribution, the systematic literature review "Extended reality applications in industry 4.0," has garnered 158 citations, establishing a foundational roadmap for integrating XR technologies into smart factories. Reta is also recognized for her pioneering work in active perception, particularly through her highly cited 2020 paper on "Supervised learning of the next-best-view for 3d object reconstruction" (83 citations). This research significantly improved the efficiency of robotic 3D scanning by teaching algorithms to autonomously select optimal viewpoints, a critical step for automated quality control and digital twinning. By bridging the gap between theoretical computer vision and real-world industrial deployment, Reta’s work is shaping the future of autonomous, data-driven manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1Extended reality applications in industry 4.0. – A systematic literature review158 citations · 2022
- 2Supervised learning of the next-best-view for 3d object reconstruction83 citations · 2020