By reusing knowledge from previous tasks and applying it to new ones, the robot can generalize far more efficiently, which is ...

Over the past decades, roboticists have introduced a wide range of advanced systems that can move around in their ...

At UC Berkeley, researchers in Sergey Levine's Robotic AI and Learning Lab eyed a table where a tower of 39 Jenga blocks stood perfectly stacked. Then a white-and-black robot, its single limb doubled ...

General-purpose robots remain rare not for a lack of hardware but because we still can’t give machines the physical intuition ...

At the Olympiad, organizers hoped to lay a foundation for annual competitions providing an “honest validation of the progress ...

Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. Researchers from Columbia University have successfully developed an ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Thermal sensors and synthetic data can help train robots for a wider range of scenarios than traditional sensors alone, says Bifrost AI.

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of robotic arms to work together faster and smarter in busy industrial settings, ...

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...