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 ...

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 ...