E. Alunno
Papers
1
Total Citations
22
H-Index
1
About
E. Alunno is a researcher specializing in robotics, computer vision, and visual servoing, with a particular focus on non-conventional camera systems. Their most cited work, "Epipole-Based Visual Servoing with Central Catadioptric Camera" (2006, 22 citations), introduces a novel approach to controlling mobile robots equipped with panoramic cameras. By leveraging epipolar geometry and the auto-epipolar property—a special configuration where the epipoles align between desired and current views—Alunno developed a visual servoing method that enables precise robot navigation without requiring complex 3D reconstruction. This contribution is notable for advancing the use of catadioptric (mirror-based) cameras in robotic guidance, offering a computationally efficient alternative to traditional perspective-based systems. While their citation count reflects a focused niche, the work demonstrates significant technical depth in marrying geometric theory with practical robotic control. Alunno’s research is particularly valuable for students and engineers exploring omnidirectional vision, autonomous navigation, and sensor-based control in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1Epipole-Based Visual Servoing with Central Catadioptric Camera22 citations · 2006