Robots find tricky tasks hard and need a lot of training. This system helps them plan ahead and act smarter using much less data.

From left, engineering professor Morteza Lahijanian and graduate student Karan Muvvala watch as a robotic arm completes a task using wooden blocks. Imagine for a moment that you’re in an auto factory.

This study published in Robot Learning has been focused on water analysis using the combination of decision making and machine learning for a recently developed robotic system. The unique procedure ...

Robots are showing up in more places than ever before. From hospitals to homes, workplaces to classrooms, machines with artificial intelligence are becoming part of everyday life. But even as they ...

This article is part of our exclusive IEEE Journal Watch series in partnership with IEEE Xplore. Imagine walking downtown when you hear a loud bang coming from the construction site across the ...

Shares rose 14.2% after Microsoft partnership announcement to integrate Azure AI capabilities into ADAM robot through AI Co-Innovation Labs.

Across China’s vast agricultural regions from greenhouse belts near major cities to expansive grain-producing provinces AI-powered farming robots are rapidly ...