A new learning system improves robots' abilities to mold materials into target shapes and make predictions about interacting with solid objects and liquids. The system, known as a learning-based ...

Deformable object manipulation in robotics is an increasingly critical research area, addressing the challenge of handling materials that do not maintain a fixed shape under manipulation. Unlike rigid ...

Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world problems. Most of these robots, however, often perform poorly on tasks that they ...

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Scientists summarize, compare and contrast research in learned robot manipulation through the lens of adaptability and outline promising research directions for the future. What if a robot could ...

Researchers headed by a team at Virginia Polytechnic Institute and State University have developed a robot-assisted surgical technique that uses acoustic vortex tweezers to capture and move small ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Using several fingers at once to grasp and ...

Forward-looking: Adobe has gone all-in on AI-based image generation and editing, introducing AI tools across its software stack and perhaps most impressively, doing so in a very timely manner. Ahead ...

Imagine you want to carry a large, heavy box up a flight of stairs. You might spread your fingers out and lift that box with both hands, then hold it on top of your forearms and balance it against ...

When robotic hands — traditionally designed to perform perfectly precalculated steps — are programmed by the Yale GRAB Lab to continuously alter their grip, fidgeting promotes adaptability to the ...

Apple is researching technology to allow an "Apple Glass" user to not be constrained to fixed physical gestures or touch controls, and instead manipulate any object to alter what is visible on the ...