X-Imitator is a bidirectional action-pose interaction framework for spatial-aware imitation learning that outperforms vanilla policies and explicit pose guidance on 24 simulated and 3 real-world robotic tasks.
In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
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GNC-Pose achieves competitive 6D pose accuracy on the YCB dataset for textured objects using only geometric priors, rendering initialization, and robust GNC optimization without any learned features or training data.
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X-Imitator: Spatial-Aware Imitation Learning via Bidirectional Action-Pose Interaction
X-Imitator is a bidirectional action-pose interaction framework for spatial-aware imitation learning that outperforms vanilla policies and explicit pose guidance on 24 simulated and 3 real-world robotic tasks.
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GNC-Pose: Geometry-Aware GNC-PnP for Accurate 6D Pose Estimation
GNC-Pose achieves competitive 6D pose accuracy on the YCB dataset for textured objects using only geometric priors, rendering initialization, and robust GNC optimization without any learned features or training data.