Figure 5.

Network architecture of the Generative Residual Convolutional Neural Network v2, where n is the number of input channels, k is the number of filters, and d is the dropout rate. The network takes in an n-channel input image of size $224\times 224$ and generates pixel-wise grasps in the form of grasp quality, grasp angle and grasp width.