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人形机器人投掷沙包物理模拟训练

人形机器人投掷沙包物理模拟训练,由 @luellamech 使用 Gemini 4 Argon 创作。观看视频,阅读创作者原帖,了解作品背景。

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创作者帖子

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ONE HUMAN VIDEO. 7 SHOTS IN A ROW. Google's Gemini 4 Argon watched a person play cornhole once, built its own physics simulator, trained the throw, then moved it onto the Apollo humanoid the idea: the model isn't the robot. it's the engineer the robot part is not the news. robots have thrown things for years. the news is who did the engineering ▹ what actually happened 1. INPUT: 1 human video. no teleop sessions, no motion-capture suit, no hand-labeled dataset 2. SIM: the model wrote its own physics simulator for the bag, the board and the arm. nobody handed it one 3. TRAIN: throws get trained inside that sim, where failing costs zero 4. TRANSFER: the policy moves onto real hardware and gets refined there, closing the sim-to-real gap 5. RESULT: Apollo lands 7 shots in a row 6. TIME: Google says weeks of robotics engineering → hours. alone each step exists already. one model running all 4 in a loop is the new part VIDEO → SIM → TRAIN → REAL ROBOT → REFINE cornhole is a toy task. the loop is not. swap the bag for a box, a tool, a tray, and the bottleneck stops being robotics engineers and starts being human footage bookmark this before every humanoid demo starts with "we showed it one video"

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