Video-to-Sim-to-Real Pipeline Trains Apollo 2 for Cornhole
Traducción pendiente. Se muestra el resumen en inglés.
In an internal test, Google DeepMind researchers used Gemini 4 Argon to analyze a video of a person playing cornhole, build a MuJoCo simulation, and calculate physics and whole-body control for Apptronik’s Apollo 2 humanoid. The article says the robot then made seven consecutive shots in the real world. DeepMind describes the pipeline as reducing modeling work from weeks to a few hours.
Fuente original · IEEE Spectrum
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