Alessandro Foi

Papers

Total Citations

H-Index

About

Alessandro Foi is a leading researcher in computer vision and robotics, with a primary focus on 3D object pose estimation for robotic manipulation. His major contributions center on bridging the gap between visual pose estimation algorithms and their practical success in real-world robot grasping and manipulation tasks. Foi pioneered the systematic benchmarking of 6D object pose estimation methods, developing novel evaluation metrics that measure not only visual accuracy but also the functional success of pose estimates in robotic applications. His highly influential work, including the 2021 paper "Benchmarking pose estimation for robot manipulation" (8 citations) and the 2019 study "Object Pose Estimation in Robotics Revisited" (7 citations), has established critical standards for the field. By revisiting and refining existing evaluation frameworks, Foi has provided the robotics community with essential tools to assess and improve vision-based grasping systems. His research directly addresses the fundamental challenge of translating computer vision advances into reliable robotic performance, making him a key figure in the development of more robust and practical manipulation systems.