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RPO Datasets
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Welcome to ARCLab, the astrodynamics, robotics, and controls lab in the AeroAstro department at MIT

Please upload datasets with the following convention

{robot}_{datatype}_{name}_dataset

where:

  • robot is the embodiment / simulation you are using (e.g. koch, xarm, rx1)
  • datatype is included if the dataset is augmented or modified in any way (e.g. a dataset with masking applied: masked)
  • name is the activity or data you are collecting (e.g. for pick and place data name: pickandplace)
  • Always end with an appended _dataset

A full example for a dataset collected using the Koch arms, that applies binary masking, and performs pick and place tasks:

koch_masked_pickandplace_dataset

Likewise, for trained models follow a similar convention

{robot}_{modeltype}_{datatype}_{name}_model

where:

  • modeltype is the model used to train (e.g. action chunking with transformers: act)
  • name is the activity the model performs (e.g. for pick and place data name: pickandplace)
  • Always end with an appended _model