With uni-robot-agent, open-weight Qwen shows robot-use capabilities comparable to the…
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With uni-robot-agent, open-weight Qwen shows robot-use capabilities comparable to the published Astra–RoboProbe results on RoboDojo. The unified harness lays the groundwork for generalizable agentic training. 📄 https://modelscope.ai/papers/2611.01560 🏆 Stronger robot use: Qwen3.8-Flash-Next achieves 31.39 Score / 25.00% success without privileged simulator inputs, versus 28.97 / 22.48% for the published GPT-6 Astra–RoboProbe configuration. 🤖 Physical-robot validation: Across 19 tasks, zero-shot Qwen scores 49.50/100, outscoring both π₀.₅ (47.75, fine-tuned on 10 hours of demonstrations per t
Posted by ModelScope (16.8k followers) 2 h ago · 11 likes · 895 views · view the original post on X. Kept by the Dev Radar as Other. Tools mentioned: modelscope.ai.
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