Enrica Amplo
Papers
1
Total Citations
23
H-Index
1
About
Enrica Amplo’s research lies at the intersection of mobile robotics, industrial automation, and 3D vision sensing. Her most cited work, “Experimental comparison of 3D vision sensors for mobile robot localization for industrial application: Stereo-camera and RGB-D sensor” (2012, 23 citations), provides a rigorous, practical evaluation of emerging sensor technologies for real-world factory environments. By systematically comparing stereo-camera systems with RGB-D sensors—then still novel in industrial settings—Amplo demonstrated how cost-effective depth sensors could rival traditional laser scanners for robot localization. This contribution helped bridge the gap between laboratory experimentation and industrial deployment, offering engineers clear guidance on sensor selection for navigation tasks. Her work is notable for its applied focus, addressing the specific challenges of robustness, accuracy, and integration in manufacturing contexts. Though her citation count reflects a niche but impactful audience, Amplo’s research has informed subsequent advances in autonomous mobile robots for logistics and assembly. For students and researchers exploring sensor fusion or industrial robotics, her work remains a foundational reference on the trade-offs between stereo vision and RGB-D technology in demanding operational conditions.
Research Focus
Key Achievements
Top Papers
- 1