Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Fundamental problems in robotics involve both discrete variables, like ...

Stroke is a major concern in countries with aging populations like Japan, where the risk of stroke can be as high as 20% in middle-aged people. It is one of the leading causes of motor function loss ...

Researchers have developed an algorithmic planner that helps delegate tasks to humans and robots. The planner, 'Act, Delegate or Learn' (ADL), considers a list of tasks and decides how best to assign ...

Robotics is a diverse industry with many variables. Its future is filled with uncertainty: nobody can predict which way it will develop and what directions will be leading a few years from now.

Automation is increasingly a reality in the workforce, and that means robots working alongside humans. But there's a problem: robots are often lousy at predicting where humans are going, leading them ...

Conventional quantum algorithms are not feasible for solving combinatorial optimization problems (COPs) with constraints in the operation time of quantum computers. To address this issue, researchers ...

Packing the car for a road trip might seem like a straightforward enough task, but it’s never been an easy one for robots to learn—until a new study turned the robot training over to artificial ...

Artificial Intelligence Robots at Google will soon learn the same way AI algorithms do, through iteration and exploration. However, researchers at Google have come forward with five “practical ...