Ignacio de Loyola Páez-Ubieta

Qdgset: a Large Scale Grasping Dataset Generated With Quality-Diversity

Recent advances in AI have led to significant results in robotic learning, but skills like grasping remain partially solved. Many recent works exploit synthetic grasping datasets to learn to grasp unknown objects. However, those datasets were generated using simple grasp sampling methods using prior