Hesai unveils Kosmo to speed robot training data capture

Hesai demonstrated Kosmo’s efficiency in a Dairy Queen deployment, reducing manual modeling time from 300 hours to 15 minutes. A robot’s task success rate improved to 99%, with failures dropping to one-tenth of previous levels. The company also highlighted cost savings in filmmaking—scanning and reconstructing a 10,000-square-meter European streetscape takes one week with Kosmo, compared to two months for traditional set-building. For world models, a single scan yields over 10,000 training trajectories, offering 100x more data at lower cost than manual collection. Strategic partnerships include Galbot, Dexmal, Pixar’s RenderMan, and Amap, with applications spanning robotics, film, and location services.