Abstract: Object localization in the industrial field plays an important role to obtain the pose information of an object. For supporting the localization works, 3D point cloud data is used as its ...
This project estimates the full 6D pose — 3D rotation and 3D translation — of objects from RGB and RGB-D images. The pipeline combines YOLOv8-based object detection with a PoseNet-inspired pose ...
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 ...
Official PyTorch implementation for monocular RGB 6D object pose estimation. This README is restructured to match the style and completeness of the second document you provided (PVNet README), while ...
Abstract: Object-in-hand 6-D pose estimation is critical for dexterous manipulation and assembly tasks. Existing object-in-hand pose estimation methods neglect the varying significance of tactile ...
Robots are good at making identical repetitive movements, such as a simple task on an assembly line. But they lack the ability to perceive objects as they move through an environment. A recent study ...
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