TOKYO -- Japanese industrial robot maker Fanuc announced Wednesday that it will work with Tokyo-based startup Preferred Networks in the field of machine learning.
Using data collected with sensors, it is possible to create machines that improve their capabilities without additional programming by humans. The companies will strive to develop a system that enables industrial robots to boost efficiency on their own.
Generally, Fanuc's corporate customers set up multiple robots and machine tools on their production lines. Machine learning could help to ensure these devices work together as smoothly as possible.
Fanuc is not usually one to team up with a startup. But Preferred Networks holds unique technology for processing large data volumes in real time.
Preferred Networks' expertise should allow Fanuc's customers to link their robots in new ways. It should also enable the machines to automatically recognize problems and learn to avoid them, or find workarounds in conjunction with other machines.