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AI 导读
Google 展示 Gemini 4 Argon 在机器人领域的真实世界物理学习能力：让 Argon 观看人类玩 cornhole 的视频，其映射环境、计算全身关节动作并自主构建仿真代码进行练习。迁移到 Apptronik 的 Apollo 人形机器人后，在真实世界试验中连续投中七次。
正文 · 原文
In robotics, Gemini 4 Argon is speeding up real-world physical learning.
We let Argon watch a video of a human playing cornhole. It mapped the environment, calculated whole-body joint movements, and autonomously built the simulation code to practice.
When transferred to Apptronik’s Apollo humanoid, the robot sank seven straight shots in a real-world trial.
来源：Google · x.com