Papers

13

Total Citations

157

H-Index

8

About

Alessandro Moro’s research lies at the intersection of robotic teleoperation, 3D computer vision, and human-robot interaction, with a particular focus on enhancing situational awareness for operators of disaster-response and construction robots. His major contributions include pioneering methods for generating spatio-temporal bird’s-eye views from multiple fish-eye cameras (37 citations) and developing decoupled virtual camera systems that separate viewpoint control from robot movement, reducing operator disorientation during teleoperation. Moro has advanced dense 3D reconstruction techniques using spherical cameras, enabling complete structural measurements from small camera motions—work that has garnered over 30 citations across related publications. His more recent research addresses autonomous navigation safety, including pedestrian trajectory prediction using BiRNN encoder-decoder frameworks and novel “smartphone zombie” detection from LiDAR point clouds to prevent collisions. Moro’s work on arbitrary viewpoint visualization for disaster response robots and spherical camera rotation estimation via specialized CNNs demonstrates his sustained impact on practical robotic systems. With over 150 total citations across his most-cited papers, his research continues to shape how robots perceive and interact with complex, human-populated environments.

Research Focus

Key Achievements

8
H-Index
13
Papers
157
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Spatio-temporal bird's-eye view images using multiple fish-eye cameras
37 citations · 2013
📈 Most Prolific Year: 2016 (3 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: The University of Tokyo, Chuo University, University of Trieste

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago