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SE(3)-PoseFlow: Estimating 6D Pose Distributions for Uncertainty-Aware Robotic Manipulation

arXiv — cs.CV•Tuesday, November 4, 2025 at 5:00:00 AM
PositiveArtificial Intelligence

SE(3)-PoseFlow: Estimating 6D Pose Distributions for Uncertainty-Aware Robotic Manipulation

The recent introduction of SE(3)-PoseFlow marks a significant advancement in the field of robotics and computer vision, particularly in the challenging area of object pose estimation. This innovative approach addresses common issues like partial observability and occlusions, which often lead to pose ambiguity. By capturing the multi-modality of uncertainties, SE(3)-PoseFlow enhances the reliability of robotic manipulation, making it a crucial development for future applications in automation and intelligent systems.
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