Learning Precise 3D Manipulation from Multiple Uncalibrated Cameras
Iretiayo Akinola,Jacob Varley,Dmitry Kalashnikov,Iretiayo Akinola,Jacob Varley,Dmitry Kalashnikov
In this work, we present an effective multi-view approach to closed-loop end-to-end learning of precise manipulation tasks that are 3D in nature. Our method learns to accomplish these tasks using multiple statically placed but uncalibrated RGB camera views without building an explicit 3D representation such as a pointcloud or voxel grid. This multi-camera approach achieves superior task performanc...
