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Showing 1 to 4 of 4 for “"6D object pose estimation"”.

  1. Vision-based 6D object pose estimation for robot manipulation

    Vision-based 6D object pose estimation focuses on estimating the 3D translation and 3D orientation of an object with respect to the camera. Accurately estimating the 6D object pose plays a crucial role in various robotic applications such as robot manipulation and semantic navigation. In this …

    uiuc Repository record for Vision-based 6D object pose estimation for robot manipulation (opens in a new tab)

  2. Uncertainty Quantification in the context of 6D Pose Estimation

    … use the Deep Evidential method in the context of 6D Object Pose Estimation, where it can be crucial to have both information on the prediction and the uncertainty on the prediction (really important for safety-critical robotic manipulation).

    gatech Repository record for Uncertainty Quantification in the context of 6D Pose Estimation (opens in a new tab)

  3. RGB-D Likelihood for 3D Inverse Graphics

    … between 3D graphics and real-world data. We propose a novel 3D Neural Embedding Likelihood (3DNEL) over RGB-D images to address this gap. 3DNEL uses neural embeddings to predict 2D-3D correspondences from RGB and combines this with depth in a principled manner. 3DNEL is trained entirely from …

    mit Repository record for RGB-D Likelihood for 3D Inverse Graphics (opens in a new tab)

  4. Geometrically and Temporally Consistent Robot Perception

    … to reconcile an ideal mathematical model of an object with imperfect data. Despite having been investigated extensively, robot perception remains challenging with spurious outliers, limited training data, and computational constraints. To this end, we investigate geometric and temporal …

    mit Repository record for Geometrically and Temporally Consistent Robot Perception (opens in a new tab)