At UC Berkeley, researchers in Sergey Levine's Robotic AI and Learning Lab eyed a table where a tower of 39 Jenga blocks ...

Reinforcement learning techniques could be the keys to integrating robots — who use machine learning to output more than words — into the real world.

Despite decades of progress, most robots are still programmed for specific, repetitive tasks. They struggle with the unexpected and can't adapt to new situations without painstaking reprogramming. But ...

The Professor Einstein robot interacts with kids and helps them learn about science.

When it comes to robots, are two heads better than one? A team of scientists at the University of Delaware thinks so. They believe that robots can be taught to adapt to changing circumstances by ...

Engineers have created a robot arm that could learn, through practice, what its own form can do, hinting at future self-aware machines.

RMA is a step toward building AI systems that can learn in real time to adapt to changing and challenging conditions. The team will present their research at Robotics: Science and Systems.

Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line.

Researchers have developed a new control approach that enables a legged robot, called ANYmal, to move quickly and robustly over difficult terrain. Thanks to machine learning, the robot can combine ...