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 ...

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 ...

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 monocular visual measurement method for autonomous landing guidance in unknown structured scenes involves scene analysis, selecting landing region, and estimating relative poses. In recent years, ...