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+ ---
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+ task_categories:
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+ - reinforcement-learning
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+ - robotics
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+ ---
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+ This dataset contains sequences of actions, motor angles and pendulum angles for a [rotary inverted pendulum robot](https://github.com/armandpl/furuta). I collected it while training it to swing up and balance ([wandb run](https://wandb.ai/armandpl/furuta2/runs/bc2yhhpg)).
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+ Angles are in radian. The action maps to the motor voltage with:
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+ ```Python
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+ deadzone = 0.1
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+ center = 0.05
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+ max_act = 0.9
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+ if abs(action) > center:
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+ V = np.sign(action) * (
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+ np.abs(action) * (self.max_act - self.deadzone) + self.deadzone
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+ ) * 12
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+ else:
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+ V = 0.0
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+ ```
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+ You can open the files using foxglove studio or with the [mcap library](https://mcap.dev/).