Ambrocio Loredo
Papers
1
Total Citations
4
H-Index
1
About
Ambrocio Loredo is a researcher whose work lies at the intersection of robotics, computer vision, and precision manufacturing. His key contributions center on the development of innovative techniques for large-shape formation and surface characterization using uncalibrated vision systems. In his seminal 2008 paper, "Precise and Robust Large-Shape Formation Using Uncalibrated Vision for a Virtual Mold," Loredo introduced a groundbreaking method that leverages laser-spot assisted, 3D image analysis to achieve high-precision geometry characterization of surfaces. This work demonstrated the ability to provide accurate target data for controlled surface manipulation, while also revealing critical insights into the measurement precision of surface-reduction gauging. Although his most-cited work has garnered 4 citations, its impact is significant within specialized fields such as automated manufacturing and robotic shape control. Loredo's research bridges theoretical computer vision with practical engineering applications, offering robust solutions for tasks requiring precise, large-scale shape formation without the need for calibrated equipment. His contributions continue to inform advancements in virtual mold technologies and adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
- 1