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# Model Card for act
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[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high success rates.
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# Model Card for act
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This is an Action Chunking Transformer (ACT) model trained for pick and place tape task.
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Notes:
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1. Model trained only with front camera to see how well it can perform with just that.
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2. Partial Observabilty in front camera. During motion some parts of the robot go off camera's frame. Can the model handle that?
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3. Pick location fixed and drop location has slight variations (considering the difficulty to learn to grasp a tape)
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[Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high success rates.
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