David Nospes
Papers
1
Total Citations
4
H-Index
1
About
David Nospes is a researcher in robotics and computer vision, with a primary focus on 3D object recognition and pose estimation for large-scale environments. His most-cited work, "Recognition and 6D Pose Estimation of Large-scale Objects using 3D Semi-Global Descriptors" (2019), addresses a critical gap in the field: while most object recognition systems target small, manipulable items, Nospes tackles the challenge of recognizing massive objects that are only partially visible. This work has direct implications for mobile robot manipulation and navigation, enabling robots to interact meaningfully with their surroundings. Though his citation count is currently modest at 4, his contributions are foundational for scaling perception systems beyond tabletop scenarios. Nospes’ research pushes the boundaries of how robots understand and operate in real-world, cluttered, and large-scale spaces—an essential step toward truly autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1