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Hi Cheng, I'm wondering what are the differences between low_dim.hdf5 and low_dim_abs.hdf5 since the dataset in the robomimic environment only has low_dim.hdf5 and image.hdf5. How is the low_dim_abs.hdf5 and image_abs.hdf5 dataset produced?
Thanks for your help!
The text was updated successfully, but these errors were encountered:
Hi @Junxix, in robomimic's offical dataset, all actions are represented as the delta with respect to the current pose. We call this action represetnation "velocity control" in this paper. Unfortunately, CNN-based diffusion policy performs very poorly under this action represetantion. Therefore, we converted all robomimic datasets into absolute posititional actions using robomimic_dataset_conversion.py. The result of this conversion is saved to low_dim_abs.hdf5 and image_abs.hdf5 respectively.
Hi Cheng, I'm wondering what are the differences between low_dim.hdf5 and low_dim_abs.hdf5 since the dataset in the robomimic environment only has low_dim.hdf5 and image.hdf5. How is the low_dim_abs.hdf5 and image_abs.hdf5 dataset produced?
Thanks for your help!
The text was updated successfully, but these errors were encountered: