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 ...

Fig. 1(a) illustrates a typical robotic manipulation system. It features a robotic arm equipped with sensors like cameras and end-effectors such as grippers, enabling it to manipulate a wide range of ...

Researchers have compiled a dataset that captures the detailed behavior of a robotic system physically pushing hundreds of different objects. Using the dataset -- the largest and most diverse of its ...

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 ...

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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 ...

In laboratories from Brazil to Munich, researchers are learning to grab matter with sound alone, sculpting ultrasonic waves ...

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 ...

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 ...