2025
Qdgset: a Large Scale Grasping Dataset Generated With Quality-Diversity
Johann Huber, François Hélénon, Mathilde Kappel, Ignacio de Loyola Páez-Ubieta, Santiago T. Puente, Pablo Gil +2
ICRA 2025
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