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cs.RO2024
QDGset: A Large Scale Grasping Dataset Generated with Quality-Diversity
Johann Huber, François Hélénon, Mathilde Kappel +5
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 t…
cs.RO2024★ 6 cited
Vision and Tactile Robotic System to Grasp Litter in Outdoor Environments
Ignacio de Loyola Páez-Ubieta, Julio Castaño-Amorós, Santiago T. Puente +1
The accumulation of litter is increasing in many places and is consequently becoming a problem that must be dealt with. In this paper, we present a manipulator robotic system to co…