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

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

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 ...

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

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

This new self-learning robotic arm could be the future of robotic butlers, and it could even teach other robots the things it learns.

In the paper, which was published in Science Robotics, the scientists explain how the robot’s first big hurdle was figuring out how it was shaped. The robot consisted of a long arm with several ...

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 ...

Researchers from Columbia University have successfully developed an autonomous robot arm capable of learning new motions and adapting to damage simply by watching itself move. The robot observed a ...

Ownership-respecting robots could soon understand the difference between chucking a Styrofoam cup and someone’s favorite mug.

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.