Gemini 4 Argon 从沙包视频建仿真，助人形机器人连中七投

Wes Roth @WesRoth原推发布于 2026.10.15

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Google’s Gemini 4 Argon built a simulation from a cornhole video and helped a humanoid land seven throws in a row. The simulation step is what interests me. A model that can construct somewhere to practice could make teaching robots new tasks much cheaper. I’d like to see the same process handle different objects, distances and environments. Seven successful throws make a compelling demo. Repeatable learning across those changes would make this much more consequential.

这条是引用着另一条写的：「Gemini 4 Argon 看视频自学，教 Apollo 机器人投沙包连中 7 次」