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LingBot-VLA 2.0 showcases a remarkable leap in robotic manipulation, achieving strong cross-embodiment performance with enhanced predictive capabilities.
A 7B model trained with RL can outperform 72B-scale general MLLMs in robotic manipulation process supervision by explicitly reasoning about progress toward the final task goal.
