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AI CURATED HOT STORY · 10/17/2026

Hesai Launches Kosmo Spatial Camera to Build Robot Training Environments in 15 Minutes

1 reports archived1 independent sourcesupdated 10/17/2026, 12:41:00
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Hesai Technology launched the Kosmo 3D World Data Engine, featuring a spatial camera and cloud platform that converts real-world scenes into high-fidelity digital twins in just 15 minutes. This infrastructure aims to address the high cost and long cycle of collecting training data for Physical AI, already boosting Sharpa robot ice cream-making task success rates to 99%.

LATEST/Hesai Technology launched the Kosmo 3D World Data Engine, featuring a spatial camera and cloud platform that converts real-world scenes into high-fidelity digital twins in just 15 minutes. This infrastructure aims to address the high cost and long cycle of collecting training data for Physical AI, already boosting Sharpa robot ice cream-making task success rates to 99%.

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  1. 机器之心 (微信公众号)T2·78 pts
    • The Kosmo One spatial camera and cloud platform enable high-precision 3D reconstruction of store-level scenes in 15 minutes, replacing traditional manual modeling that takes ~300 hours.
    • By preserving appearance, geometry, and spatial relationships, the solution addresses the challenge of replicating complex physical environments for robot simulation training.
    • Real-world case studies show that robots trained on this data (Sharpa) reduced failure rates by 90% and achieved a 99% success rate in ice cream-making tasks.
Hesai Launches Kosmo Spatial Camera to Build Robot Training Environments in 15 Minutes | Today for AI