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Japanese industrial robots manufacturer, Fanuc is trying to get them to learn on the job

| Reports, Science and Technology Reports | 11/07/2016

Fanuc, a company that produces robot arms for factories, is trying to get them to learn on the job.

Japanese Robotics Giant Gives Its Arms Some Brains
Date: October 7, 2016
Source: MIT Technology Review by Will Knight

The big, dumb, monotonous industrial robots found in many factories could soon be quite a bit smarter, thanks to the introduction of machine-learning skills that are moving out of research labs at a fast pace. Fanuc, one of the world’s largest makers of industrial robots, announced that it will work with Nvidia, a Silicon Valley chipmaker that specializes in artificial intelligence, to add learning capabilities to its products.

The deal is important because it shows how recent advances in AI are poised to overhaul the manufacturing industry. Today’s industrial bots are typically programmed to do a single job very precisely and accurately. But each time a production run changes, the robots then need to be reprogrammed from scratch, which takes time and technical expertise.

Machine learning offers a way to have a robot reprogram itself by learning how to do something through practice. The technique involved, called reinforcement learning, uses a large or deep neural network that controls a robotic arm’s movement and varies its behavior, reinforcing actions that lead it closer to an end goal, like picking up a particular object. And the process can also be sped up by having lots of robots work in concert and then sharing what they have learned. Although robots have become easier to program in recent years, their learning abilities have not advanced very much.

The graphics processing units that Nvidia makes, which enable high-speed parallel computation, are especially well suited to deep learning. Fanuc will use Nvidia processors inside individual robots and also in a central system that controls all the bots in a factory. The training will feed into the central system, which Nvidia calls a “GPU supercomputer,” and trained models will then be transferred to robots to execute actions, using computer vision and deep learning.

“Complex robots with high levels of articulation can perform a task in many ways, so they generate a lot of data and require massive amounts of computing power,” says Masataka Osaki, vice president of worldwide operations at Nvidia.

Fanuc makes a wide range of industrial robots, which are used in all sorts of settings, from auto factories to electronics and food production facilities. The company has been progressive in connecting its robots to the cloud, and in exploring ways to use advances in machine learning.

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