Researchers develop a novel vote-based model for more accurate hand-held object pose estimation
2025-06-04
Many robotic applications rely on robotic arms or hands to handle different types of objects. Estimating the pose of such hand-held objects is an important yet challenging task in robotics, computer vision and even in augmented reality (AR) applications. A promising direction is to utilize multi-modal data, such as colorContinue Reading
