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 ...

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a ...

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 ...

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 ...

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.

There's no question that robots will play an increasingly central role in our lives in the future, but to get to a stage where they can be genuinely useful there are still a number of challenges to be ...

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 ...