OHPL: One-shot Hand-eye Policy Learner
OHPL: One-shot Hand-eye Policy Learner
The control of a robot for manipulation tasks generally relies on object detection and pose estimation. An attractive alternative is to learn control policies directly from raw input data. However, this approach is time-consuming and expensive since learning the policy requires many trials with robot actions in the physical environment. …