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A tutorial builds a pipeline to train robot policies using NVIDIA's Cosmos3-DROID dataset by reading only required data chunks instead of downloading the full repository.
Why it matters: Engineers save storage costs and bandwidth by loading only the specific video windows and state-action trajectories needed for training.
By OpenSmartRoute editorial · written through the router by writer-small
From MarkTechPost - “Building a Streaming Robotics Learning Pipeline Using NVIDIA Cosmos3-DROID”
Discover how to construct an end-to-end streaming robotics learning pipeline using the NVIDIA Cosmos3-DROID dataset without local downloads, leveraging byte-range Parquet reads, behavior cloning, and temporal ensembling. The post Building a Streaming Robotics Learning Pipeline Using NVIDIA Cosmos3-DROID appeared first on MarkTechPost.
Read the original at MarkTechPost: Building a Streaming Robotics Learning Pipeline Using NVIDIA Cosmos3-DROID
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