AI and robots need data — lots of it. Companies that have millions of users have an advantage in this data collection ... Regular robot imitation learning requires painstaking teleoperation ...

"One of the annoying things about working with robots is collecting so much data on the robot doing different ... The hope of this approach, a branch of machine learning called "imitation learning ...

Researchers at the Fraunhofer Institute for Factory Operation and Automation IFF have developed cognitive robot capabilities ...

With robots, operations experts no longer need to spend tremendous amounts of time on data collection and over-generalize from small-scale time studies. Instead, they can collect real-time ...

“A major challenge for robot makers is the lack of large-scale, real and synthetic data to train models. Human demonstrations aren’t scalable; limited by the number of hours in a day.

Machine learning, robotics and data are deemed vital to the discovery of new materials. However, although data collection is an essential component, there is a bottleneck in that part of the ...

Nvidia revealed new AI and simulation tools that will advance robot learning and humanoid development. The world’s biggest tech company by valuation (worth $3.432 trillion) said that the tools ...

Today, the autonomous walking robots developed by Marco Hutter and his team are disrupting entire fields. In the future, these highly mobile robots could assist ... Thanks to machine learning, the ...

Machine learning, robotics and data are deemed vital to the discovery of new materials. However, although data collection is an essential component, there is a bottleneck in that part of the ...

Machine learning, robotics and data are deemed vital to the discovery of new materials. However, although data collection is an essential component, there is a bottleneck in that part of the ...