- Updated the tutorial to use `NormalizerProcessorStep` as the primary example, clarifying its role in normalizing observations and actions.
- Improved explanations of the need for custom processors, emphasizing data compatibility and processing requirements.
- Added code snippets demonstrating the normalization process and the configuration of processor pipelines.
- Enhanced the introduction to processors, detailing their function as translators between raw robot data and model inputs.
- Included examples of real-world processor configurations for both training and inference scenarios.
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