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README.md
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## Welcome to ARCLab, the astrodynamics, robotics, and controls lab in the AeroAstro department at MIT
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```
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{robot}_{datatype}_{name}_dataset
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```
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where:
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- robot is the embodiment / simulation you are using
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- datatype is included if the dataset is augmented or modified in any way (e.g. a dataset with masking applied)
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- name is the activity or data you are collecting (e.g. for pick and place data name
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- Always end with an appended _dataset
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A full example for a dataset collected using the Koch arms, that applies binary masking, and performs pick and place tasks:
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```
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koch_masked_pickandplace_dataset
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```
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## Welcome to ARCLab, the astrodynamics, robotics, and controls lab in the AeroAstro department at MIT
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Please upload datasets with the following convention
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```
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{robot}_{datatype}_{name}_dataset
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```
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where:
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- 'robot' is the embodiment / simulation you are using (e.g. koch, xarm, rx1)
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- 'datatype' is included if the dataset is augmented or modified in any way (e.g. a dataset with masking applied: masked)
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- 'name' is the activity or data you are collecting (e.g. for pick and place data name: pickandplace)
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- Always end with an appended _dataset
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A full example for a dataset collected using the Koch arms, that applies binary masking, and performs pick and place tasks:
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```
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koch_masked_pickandplace_dataset
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```
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Likewise, for trained models follow a similar convention
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```
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{robot}_{modeltype}_{name}_model
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```
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where:
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- 'modeltype' is the model used to train (e.g. action chunking with transformers: act)
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- 'name' is the activity the model performs (e.g. for pick and place data name: pickandplace)
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- Always end with an appended _model
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