Eudald Romo
Papers
3
Total Citations
706
H-Index
3
About
Eudald Romo is a leading researcher in robotic manipulation, with a core focus on enabling robots to reliably grasp and recognize objects in unstructured, cluttered environments. His most influential work centers on developing a novel pick-and-place system that combines multi-affordance grasping with cross-domain image matching. This breakthrough allows robots to handle a wide range of object categories—both known and entirely novel—without requiring any task-specific training data for the new items. The flagship paper on this system has amassed over 460 citations, reflecting its profound impact on the field of robotic perception and manipulation. By tackling the fundamental challenge of generalizing to unseen objects in real-world clutter, Romo’s research bridges the gap between controlled lab settings and practical, autonomous robotics. His contributions are pivotal for advancing applications in warehouse automation, domestic service robots, and industrial sorting, where adaptability and zero-shot learning are critical. Through his work, Romo has established himself as a key innovator in making robotic grasping more intelligent, flexible, and ready for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3