SARR modifies trigonometric rotation encodings with object symmetry orders to produce unique continuous poses, enabling standard CNNs to outperform existing methods on symmetry-aware 6D pose estimation without custom losses or 3D models.
Multi-resolution sensing for real-time control with vision-language models
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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RDT-1B is a diffusion foundation model that unifies action spaces across robots and demonstrates superior bimanual manipulation with zero-shot generalization, language following, and few-shot learning on real robots.
citing papers explorer
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Towards Symmetry-sensitive Pose Estimation: A Rotation Representation for Symmetric Object Classes
SARR modifies trigonometric rotation encodings with object symmetry orders to produce unique continuous poses, enabling standard CNNs to outperform existing methods on symmetry-aware 6D pose estimation without custom losses or 3D models.
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RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation
RDT-1B is a diffusion foundation model that unifies action spaces across robots and demonstrates superior bimanual manipulation with zero-shot generalization, language following, and few-shot learning on real robots.