Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation
Rae Jeong,Yusuf Aytar,David Khosid,Yuxiang Zhou,Jackie Kay,Thomas Lampe,Konstantinos Bousmalis,Francesco Nori,Rae Jeong,Yusuf Aytar,David Khosid,Yuxiang Zhou,Jackie Kay,Thomas Lampe,Konstantinos Bousmalis,Francesco Nori
Collecting and automatically obtaining reward signals from real robotic visual data for the purposes of training reinforcement learning algorithms can be quite challenging and time-consuming. Methods for utilizing unlabeled data can have a huge potential to further accelerate robotic learning. We consider here the problem of performing manipulation tasks from pixels. In such tasks, choosing an app...
