Recent work in 6D object pose estimation holds significant promise for advancing robotics, augmented reality (AR), virtual reality (VR), as well as autonomous navigation. The research, published in ...
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 ...
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 ...
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