Domain Randomization for Sim2real Transfer of Automatically Generated Grasping Datasets
Johann Huber,François Hélénon,Hippolyte Watrelot,Faïz Ben Amar,Stéphane Doncieux,Johann Huber,François Hélénon,Hippolyte Watrelot,Faïz Ben Amar,Stéphane Doncieux
Robotic grasping refers to making a robotic system pick an object by applying forces and torques on its surface. Many recent studies use data-driven approaches to address grasping, but the sparse reward nature of this task made the learning process challenging to bootstrap. To avoid constraining the operational space, an increasing number of works propose grasping datasets to learn from. But most ...
