Abstract: Highlights•A fairer evaluation on grasp quality using the relationship between predicted grasp and mapped grasp.•Introduce the concept of grasp path to reveal the distribution of ground truths.•Back-propagate the “real” error to update the detection model.•Experiments are performed on both public dataset and real-world scenario.
Loading