結合 NVIDIA 與 Hugging Face：如何為 LeRobot SO-101 機械手臂後訓練 Isaac GR00T N1.5 模型
Original: Post-Training Isaac GR00T N1.5 for LeRobot SO-101 Arm
As embodied AI develops rapidly, deploying powerful robotics foundation models onto specific hardware has become a key challenge. NVIDIA…
本指南介紹如何結合 NVIDIA 的 Isaac GR00T N1.5 機器人基礎模型與 Hugging Face 的開源機器人平台 LeRobot。 透過後訓練（Post-Training）與微調技術，開發者能讓強大的 GR00T 模型適配低成本、開源的 SO-101 五軸機械手臂。 此合作降低了具身智能（Embodied AI）的開發門檻，展示了從模擬到真實世界（Sim-to-Real）的高效轉移路徑。
As embodied AI develops rapidly, deploying powerful robotics foundation models onto specific hardware has become a key challenge. NVIDIA and Hugging Face have teamed up to present a detailed guide on how to perform post-training of NVIDIA's Isaac GR00T N1.5 model specifically for the open-source LeRobot SO-101 robotic arm.
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