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 ...

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

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

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

Johns Hopkins University researchers have created a system that could make social robots more effective at detecting and managing user interruptions in real time based on a human speaker's intent—a ...

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

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.

Imagine a world where robots clean your home, beaches, and even public spaces. We're already well on our way there, but a new self-learning robotic arm developed by researchers at TU Wien in Austria ...

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, ...