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 ...

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 ...

SAN FRANCISCO--(BUSINESS WIRE)--Unity, the world’s leading platform for creating and operating real-time 3D (RT3D) content, today released its Object Pose Estimation demonstration, which combines the ...

Researchers from SIT, Japan, developed a novel dataset to enhance robotic precision in 6D pose estimation, improving pick-and-place tasks in industrial settings. Accurate object pose estimation refers ...

A recent study was conducted by researchers at the University of Illinois at Urbana-Champaign, NVIDIA, the University of Washington, and Stanford University, on 6D object pose estimation to develop a ...