谷歌 DeepMind 借助 Gemini 4 Argon 通过视频教会人形机器人投掷沙包
谷歌 DeepMind 展示了 Gemini 4 Argon 的具身智能能力:仅凭观看一段人类投掷沙包的视频,模型便自动生成仿真环境并指导 Apptronik 的 Apollo 人形机器人连续命中 7 次。
谷歌 DeepMind 近期展示了其前沿大模型 Gemini 4 Argon 在具身智能领域的最新进展。该模型仅通过观看人类玩沙包洞游戏(Cornhole)的单段视频剪辑,便成功推演出物理力学机制,并自动编写了相应的仿真代码与控制策略。
依托这种从视频到仿真再到现实(Video-to-Sim-to-Real)的流水线,Gemini 4 Argon 在 MuJoCo 物理引擎中构建了数字孪生环境并进行模拟训练。随后,算法被部署至 Apptronik 研发的 Apollo 人形机器人上。机器人在通过双目视觉校准目标位置后,在真实测试中连续 7 次精准投进目标洞口。
研究团队指出,该技术将以往需要工程师花费数周手动建模与调参的复杂流程压缩至数小时。这表明多模态前沿模型不仅具备理解人类动态的能力,还能直接驱动机器人完成高精度的复杂物理交互。
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Sina Afrooze's Postlinkedin.com · supportingGemini 4 Argon taught a robot to play cornhole just by watching a video. It mapped the physics, coded its own simulation, and taught
Google's Gemini 4 Argon Taught a Humanoid Robot to Play Cornholeyahoo.com · supportingGoogle DeepMind researchers gave it one clip of a person tossing bean bags. That was the whole lesson. Argon mapped the scene, worked out the physics, and wrote its own simulation to practise in. Then it took control of Apptronik's Apollo humanoid and kept training on the real robot. Advertisement Advertisement Advertisement Advertisement After a few warm-up throws, Apollo sank seven in a row. Google says this video-to-sim-to-real pipeline squeezes weeks of manual simulation work into a few hours. Asked to explain itself, the robot even came up with its own gestures. And it's not a one-off. From a single tabletop photo, Argon built a digital twin, generated over 4,500 simulated practice runs, and lifted a robot's real-world success rate from 56 to 75 percent. [...] Skip to main Home News Finance Sports Mail Advertisement Advertisement Return to Homepage ## Top Stories: Cornell rape case latest Katie Zacharia Social Security's 2027 COLA Roller coaster tragedy Co
Google's Gemini 4 Argon Taught a Humanoid Robot to Play Cornholeyoutube.com · supporting# Google's Gemini 4 Argon Taught a Humanoid Robot to Play Cornhole ## Channel: Interesting Engineering Explains 39.5K subscribers 174 likes ### Description 6,994 views Posted: 2026-10-14 Google has released Gemini 4 Argon, its new frontier model, and showed it teaching Apptronik's Apollo humanoid to play cornhole from a single video of a person. Argon mapped the scene, built its own physics simulation and refined the throws on the real robot, which then sank seven shots in a row. This is one of 30+ #defense & #engineering videos we drop weekly. Get them all in the IE App: ⏩iOS: ⏩Android: 🚀 Discover deep-dive engineering stories and breakthrough technologies on Interesting Engineering: / @interestingengineeringie [...] ### Transcript [0:00] This humanoid learned cornhole from a single video and its coach was an AI meet Gemini 4 argon [music] Google's new [0:09] frontier model released worldwide on October 13th. Google deep mind researchers gave it one clip of a person [0:16] to
Teaching a humanoid robot to play cornhole with Gemini 4 Argonyoutube.com · supporting# Teaching a humanoid robot to play cornhole with Gemini 4 Argon ## Channel: Google DeepMind (verified) 933K subscribers 4.6K likes ### Description 798,995 views Posted: 2026-10-13 In an internal test, Google DeepMind robotics researchers instructed Gemini 4 Argon to watch a video of a human playing cornhole. Using its video understanding and advanced reasoning capabilities, Gemini 4 built a virtual simulation in MuJoCo and accurately calculated the physics and whole-body control required for Apptronik’s Apollo 2 humanoid to sink seven consecutive shots in the real world. This Video-to-Sim-to-Real pipeline compresses weeks of manual modeling into a few hours, transforming ordinary videos into an infinite training ground for physical AI. Learn more about Gemini 4 Argon: ___ [...] [0:58] Second, I looked through my two eye cameras to measure the exact 3D position of the board and built a physics simulation of my body and the board. [1:07] Third, I practiced the throw in simulation, w
"We taught a robot to play cornhole using Gemini 4 Argon ...x.com · supportingWe taught a robot to play cornhole using Gemini 4 Argon Just by watching a video of humans playing, Argon mapped the physics, coded its
Google DeepMind on X: "Gemini 4 Argon taught a robot to play cornhole just by watching a video. It mapped the physics, coded its own simulation, and taught @Apptronik's Apollo humanoid to sink 7 throws in a row." / Xx.com · supporting@GoogleDeepMind Google DeepMind@GoogleDeepMind Gemini 4 Argon taught a robot to play cornhole just by watching a video. It mapped the physics, coded its own simulation, and taught @Apptronik's Apollo humanoid to sink 7 throws in a row. 00:00 6:41 PM · Oct 13, 2026·266.2K Views 284 @GoogleDeepMind Google DeepMind@GoogleDeepMind Oct 13 By turning video into a training ground for physical AI, Argon compresses weeks of manual modeling into just a few hours. ↓ Google for Developers Blog - News about Web, Mobile, AI and CloudFrom developers.googleblog.com 16 @EntryStateGod Adam Shepherd@EntryStateGod Oct 13 [...] Log inSign up ## Post Log inSign up # Google DeepMind on X: "Gemini 4 Argon taught a robot to play cornhole just by watching a video. It mapped the physics, coded its own simulation, and taught @Apptronik's Apollo humanoid to sink 7 throws in a row." @GoogleDeepMind Google DeepMind@GoogleDeepMind Gemini 4 Argon taught a robot to