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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.
A 7B model trained with reinforcement learning beats GPT-4o on robotic reasoning tasks involving low-level action control.
