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

A robot observes its reflection in a mirror, learning its own morphology and kinematics for autonomous self-simulation. The process highlights the intersection of vision-based learning and robotics, ...

Inside the robotics laboratory of the Toyota Research Institute (TRI) in Cambridge, Massachusetts, a group of robots are busy cooking. There is nothing special about that; robotic chefs have been ...

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

WEST LAFAYETTE, Ind. — Being a baby is harder than it looks. Born into the world knowing almost nothing, they spend their first few years getting a PhD in navigating a physical environment. Likewise, ...

The race to build the world’s first functional humanoid robots is no longer just a contest of hardware. It’s a high-stakes battle over two radically different philosophies of development, the crux of ...

A select group of 20 fifth graders participated in Marie Curie Institute’s Robotics Club this winter. The club met over a 10 week period to learn about robots, to build a robot, and to program 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 ...

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 ...

AI and robots need data — lots of it. Companies that have millions of users have an advantage in this data collection, because they can use the data of their customers. A well-known example is ...

Sergey Levine is an assistant professor at UC Berkeley whose research is focused on the thing our parents used to make such a fuss over, whenever we made stupid mistakes or should have known to avoid ...