The inverse kinematics problem of exoskeleton rehabilitation robots is challenging due to the lack of a standard analytical model, resulting in a complex and varied solution process. This complexity ...

The task allocation of multiple robot chemical inspection plays a vital role in enhancing the inspection efficiency of robots, and it is crucial for the timely detection of hazardous factors in ...

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 ...

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 ...

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 ...

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 ...