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RLDX-1 achieves double the success rate of existing VLAs on complex humanoid tasks, suggesting a leap in robots' ability to handle contact-rich, dynamic manipulation.
Ground-truth labels don't improve LLM reasoning, but building a consensus-based knowledge graph of reasoning steps does, boosting accuracy by 10%+.
