Over the years, the robot grasping area has received considerable attention. Several techniques were developed to increase the efficiency and autonomy of robot manipulators. This work presents a brief review and analysis of different techniques applied to deep learning-based robot grasping generation models, in addition to some of the challenges that need to be overcome in the area.