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 ...

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 ...

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

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 ...

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

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 ...

Professors at the University of South Australia and Charles Sturt University have developed an algorithm to detect and intercept man-in-the-middle (MitM) attacks on unmanned military robots. MitM ...

A new study from New York University and the Robotics and AI Institute has found that robots trained on structured, ...

Setting up a robotics lab in a US university is traditionally a battle against entropy. Administrators face a chaotic procurement process with arms from one vendor and vision systems from another. The ...