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README.md
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library_name: transformers
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# Nora-Long
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Nora take a language instruction and a camera image of a robot workspace as input, and predict (normalized) robot actions consisting of 7-DoF end-effector deltas of the form (x, y, z, roll, pitch, yaw, gripper).
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To execute on an actual robot platform, actions need to be un-normalized subject to statistics computed on a per-robot, per-dataset basis.
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Instructions on how to run Nora is available on https://github.com/declare-lab/nora.
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library_name: transformers
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pipeline_tag: robotics
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# Nora-Long
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Nora take a language instruction and a camera image of a robot workspace as input, and predict (normalized) robot actions consisting of 7-DoF end-effector deltas of the form (x, y, z, roll, pitch, yaw, gripper).
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To execute on an actual robot platform, actions need to be un-normalized subject to statistics computed on a per-robot, per-dataset basis.
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Instructions on how to run Nora is available on https://github.com/declare-lab/nora.
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