Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ISS, laying the groundwork for more autonomous space missions.

Thermal sensors and synthetic data can help train robots for a wider range of scenarios than traditional sensors alone, says Bifrost AI.

Imagine a robot about the size of a toaster floating through the tight corridors of the International Space Station, quietly moving supplies or ...

Stanford researchers have successfully demonstrated a machine-learning-based control system aboard the International Space ...

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Funded through a $2.1 million National Science Foundation (NSF) grant, IceCore will replace UVM's six-year-old DeepGreen GPU ...

For roughly two billion years of Earth’s early history, the atmosphere contained no oxygen, the essential ingredient required ...

Precision measurement technology to assure the quality of products on assembly lines across the U.S. -- Fostering an excellence in surgical care from the first precision clinical microscopes and ...

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Stanford's AI system guides robots autonomously on the ISS, enabling faster, safer navigation and task execution in space.

Now, however, Stanford researchers have used artificial intelligence to steer a free-flying robot aboard the International ...