Many robotic applications rely on robotic arms or hands to handle different types of objects. Estimating the pose of such hand-held objects is an important yet challenging task in robotics, computer ...

As the metaverse buzz continues to heat up, discussions about the technologies that will power it are also becoming more mainstream. In a previous article published by VentureBeat, Gary Grossman, ...

There’s an intuitive appeal to using controller-free hand-tracking input like Leap Motion’s; there’s nothing quite like seeing your virtual hands and fingers move just like your own hands and fingers ...

Scientists have developed new technology, dubbed 'Knocker', which identifies objects and executes actions just by knocking on them with the smartphone. Software powered by machine learning of sounds, ...

The proposed framework will enable robots to accurately and more efficiently handle complex objects, while also advancing augmented reality technologies to support more lifelike hand-object ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...