Gemini 4 Argon turns one photo into robot sim training data
Google claims Gemini 4 Argon converted a single tabletop photo into a sim twin and 4,500+ episodes, raising real robot success from 56% to 75%.
Three ways robot builders are getting data, from what I read over the past week: ◉ Human video. Nature Will says its Natura-1 hand control model trained on 1M+ hours of first-person video of people using their hands (company claim, via Forbes). ◉ Simulation. Google says Gemini 4 Argon turned one photo of a real tabletop into a sim twin and 4,500+ episodes, lifting real robot success from 56% to 75% (Google's own numbers). ◉ Scanners. Hesai's new Kosmo combines lidar and cameras to map real places. Its CEO called the shortage "a significant gap in high quality spatial data." Different routes, but all three start from the real world. @vangrid_io is the phone capture route, with provenance on Base