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Vote-based model developed for more accurate hand-held object pose estimation

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 ...
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Study unveils AI-driven, real-time, hand-object pose estimation framework

A new AI-powered framework has been developed, offering new capabilities for the real-time analysis of two hands engaged in manipulating an object. A research team led by Professor Seungryul Baek from ...
VentureBeat

Nvidia researchers use AI to teach robots how to hand objects to humans

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In a preprint research paper published this week, Nvidia researchers ...
Science Daily

Researchers develop a novel vote-based model for more accurate hand-held object pose estimation

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 ...