視覺觸覺融合讓機器手更靈巧

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這份研究文件詳細介紹了一種視覺與觸覺融合的機器人預訓練框架，旨在提升多手指機器手進行複雜操作的靈巧度與適應力。研究團隊整合了 Shadow Hand 與 LEAP Hand 等硬體系統，透過人類操作數據進行自我監督預訓練，使機器能同時處理影像與觸覺二進制信號。利用提出的 IPL 整合令牌技術，該系統能有效整合多感測資訊，並透過在線多任務蒸餾學習，將多個專家策略彙整為單一通用模型。實驗證明，此方法在處理如轉瓶蓋、旋轉水龍頭等五種任務時，無論在模擬環境或現實世界中，皆展現出優於單一感測模態的強健性與泛化能力。此外，該研究探討了領域隨機化對跨越模擬與現實落差的影響，並證實了框架在低成本硬體上的擴展潛力。 -- Hosting provided by SoundOn

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視覺觸覺融合讓機器手更靈巧

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