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  ## Welcome to ARCLab, the astrodynamics, robotics, and controls lab in the AeroAstro department at MIT
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- If you are a researcher for the lab please upload datasets following this 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
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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 = 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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  ## 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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+
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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