Picking the right items from a disparate range of objects is a difficult challenge for a robot, but Nvidia says it is making progress.
As another step toward enabling robots to work effectively in complex environments, robotics researchers from Nvidia says it has developed a novel deep learning-based system that allows a robot to perceive household objects in its environment for the purpose of grasping the objects and interacting with them.
With this technique, the robot is able to perform simple pick-and-place operations on known household objects, such as handing an object to a person or grasping an object out of a person’s hand.
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