Nvidia's new algorithm --6-DoF GraspNet --helps robots pick up arbitrary objects

Nvidia Research has been making strides in using deep learning to train models for various tasks. Recently, the company clocked the fastest training times for BERT and trained the largest ever transformer-based model. However, as expected, algorithms based on deep learning require a large dataset to begin with, and that is a luxury in many situations. Along with continuing research using deep learning, the company focused its efforts in another direction as well. And the firm, at its Seattle Robotics Lab, developed a novel algorithm, called 6-DoF GraspNet, that allows robots to grasp arbitrary objects.