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Achieving a 57.6% success rate on RoboCasa365, Xiaomi-Robotics-1 sets a new standard for vision-language-action models in real-world robotic manipulation.
Xiaomi-Robotics-U0 achieves a remarkable 63.2% success rate on challenging real-world manipulation tasks, showcasing the power of foundation models in embodied robotics.
HarnessX reveals that evolving agent harnesses through execution feedback can outperform traditional model scaling, achieving up to 44% performance gains in specific tasks.
