Hesai Unveils Kosmo 3D Data Platform for Enhanced Robot Training and World Modeling
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Hesai has introduced Kosmo, a 3D world data platform that integrates the Kosmo One spatial camera and Kosmo World cloud service to transform real-world environments into digital formats for robot training and world modeling. An operator can scan a typical 100-square-meter indoor area in approximately 15 minutes, enabling the generation of simulation-ready environments with advanced features like 3D Gaussian Splatting and semantic segmentation.
This launch is significant as it expands Hesai's capabilities beyond lidar technology, with the company reporting over 10,000 actuation modules shipped by the end of Q2 2026 and anticipating six-figure shipments in 2027. The Kosmo platform not only enhances robot training efficiency but also supports the development of world models, allowing for the creation of extensive training data at a fraction of the cost compared to traditional methods.
Looking ahead, Hesai's partnerships with companies like Galbot and Dexmal, along with integrations with platforms such as Nvidia Isaac Sim and Unreal Engine, will be crucial for the platform's adoption across various sectors, including robotics, film production, and cultural heritage. No further timeline was disclosed at the time of publication.
Original report
Hesai Launches Kosmo 3D Data Platform for Robot Training and World Models
AIInsider · Greg BockThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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