most citedData-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks

29 citations · 29 across the 1 of their papers we have counts for

collaborators

1 paper

cs.RO2019★ 29 cited

Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks

Xinchen Yan, Mohi Khansari, Jasmine Hsu +4

Training a deep network policy for robot manipulation is notoriously costly and time consuming as it depends on collecting a significant amount of real world data. To work well in…