Nvidia researchers have created a deep-learning system that can teach a robot simply by observing a human's actions.
According to Nvidia, the deep learning and artificial intelligence method is designed to improve robot-human communication and allow them to collaborate. The paper will be presented at a conference in Brisbane, Australia.
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Researchers trained neural networks powered by Nvidia's Titan X GPUs. The neural networks incorporated perception, program generation and ultimate execution. Simply put, a human could demonstrate a real world task and the robot could learn a task.
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The robot would see a task via a camera and then infer positions and relationships of objects in a scene. The neural network would then generate a plan to explain how to recreate perceptions. The execution network would carry the task out.
A flow chart of the method goes like this:
Nvidia said its method is the first time where synthetic data was combined with an image-centric approach on a robot.
A video highlighted how the neural network enabled a robot to see a task and then recreate it.
Originally published on ZDNet.
Related Topics:Tech & Work Innovation Internet of Things Big Data Analytics Developer
Larry Dignan is Editor in Chief of ZDNet and Editorial Director of TechRepublic.