Harvard researchers created an algorithm that allows a wearable robot to adapt to and assist the arm movements of stroke and Lou Gehrig’s disease patients in real-time. The researchers’ machine ...

Machine learning algorithms can analyze test data quickly and then learn from that data for the next set of experiments executed by the robots. These machine learning algorithms can quickly identify ...

Teaching robots to manipulate objects with human-like dexterity remains one of the biggest challenges ...

Teaching robots to manipulate objects with humanlike dexterity has long been one of robotics' toughest challenges. Tasks such ...

Evolution is a very slow process, due largely to the fact that nature doesn't "know" in advance which features of an animal will be beneficial. A new AI-based algorithm does know, however, allowing it ...

Plenty of companies have demoed home robots, but few, if any, have actually been released. The truth is that even the most advanced robots aren't very good at interacting with objects and environments ...

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 ...

What if robots could learn to handle objects without watching humans? The new way training data is created can shape what robots learn.

The proposed algorithm combines variational scheduling with post-processing to achieve near-optimal solutions to combinatorial optimization problems with constraints within the operation time of ...