英偉達與卡內基梅隆大學推出新框架ASAP，提升機器人訓練精準度
在機器人技術的發展中，模擬環境與現實世界之間的差距一直是一個重大挑戰。近日，英偉達 GEAR 實驗室與卡內基梅隆大學的研究團隊聯合開發了一種新框架，名爲 ASAP（Aligning Simulation and Real Physics），旨在縮小這種差距。該系統在減少機器人模擬與現實運動誤差方面取得了顯著進展，能夠降低約53% 的運動誤差，相較於現有方法具有明顯優勢。ASAP 框架的工作流程分爲兩個階段。首先，機器人在虛擬環境中進行訓練，隨後利用一種特殊模型來處理現實世界中的差異。這個模型能夠學習並調
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