
Teaching a humanoid robot to play cornhole with Gemini 4 Argon
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: https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/
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Learn more about Gemini 4 Argon: https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/
___
Subscribe to our channel https://www.youtube.com/@googledeepmind
Find us on X https://x.com/GoogleDeepMind
Follow us on Instagram https://instagram.com/googledeepmind
Add us on Linkedin https://www.linkedin.com/company/deepmind/
Google DeepMind
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