Enhance Robot Learning with Synthetic Trajectory Data Generated by World Foundation Models – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-25T02:22:39Z http://www.open-lab.net/blog/feed/ Oyindamola Omotuyi <![CDATA[Enhance Robot Learning with Synthetic Trajectory Data Generated by World Foundation Models]]> http://www.open-lab.net/blog/?p=102115 2025-06-26T18:59:27Z 2025-06-16T17:00:00Z Generalist robotics have arrived, powered by advances in mechatronics and robot AI foundation models. But a key bottleneck remains: robots need vast training...]]> Generalist robotics have arrived, powered by advances in mechatronics and robot AI foundation models. But a key bottleneck remains: robots need vast training...

Generalist robotics have arrived, powered by advances in mechatronics and robot AI foundation models. But a key bottleneck remains: robots need vast training data for skills like assembly and inspection, and manual demonstrations aren��t scalable. The NVIDIA Isaac GR00T-Dreams blueprint, built on NVIDIA Cosmos, solves this challenge by generating massive synthetic trajectory data from just a single��

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