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Robot-specific fine-tuning may not be necessary for complex manipulation: structured in-context memory and execution-receipt grammar allow frozen frontier VLMs to match specialized hybrid VLA policies within two points.
AetheRock not only streamlines data collection for robot learning but also pairs it with a novel framework that enhances tactile learning in the face of sensor inconsistencies.
