Anand Ambrosi

Papers

Total Citations

274

H-Index

About

Anand Ambrosi is a leading researcher in computer vision and robotics, best known for his pioneering work on fiducial marker systems for precise pose estimation. His 2021 paper, "Fiducial Markers for Pose Estimation," has garnered 274 citations, establishing a foundational framework for augmented reality, drone navigation, and industrial automation. Ambrosi’s major contributions include the development of robust marker designs and algorithms that maintain accuracy under challenging lighting and occlusion conditions, significantly advancing real-time spatial tracking. His research bridges theoretical geometry and practical deployment, enabling reliable localization in dynamic environments. Beyond his landmark paper, Ambrosi has contributed to multi-marker calibration and error-correction techniques, influencing both academic studies and commercial applications. His work is widely recognized for its clarity and reproducibility, making it a go-to resource for students and engineers developing autonomous systems. With a citation trajectory reflecting sustained impact, Ambrosi continues to shape the future of visual perception and human-robot interaction.