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ral
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Grasp_multiobject_multigrasp
⭐
103
An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'
Void Dataset
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49
Visual Odometry with Inertial and Depth (VOID) dataset
Grasp_multiobject
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39
Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cornell Dataset.
Simdata
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31
The dataset of our RA-L work 'Learning Affordance Segmentation for Real-world Robotic Manipulation via Synthetic Images'
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