R²D²: Scaling Multimodal Robot Learning with NVIDIA Isaac Lab
Mirrored from NVIDIA Developer Blog for archival readability. Support the source by reading on the original site.
Building robust, intelligent robots requires testing them in complex environments. However, gathering data in the physical world is expensive, slow, and often...
Building robust, intelligent robots requires testing them in complex environments. However, gathering data in the physical world is expensive, slow, and often dangerous. It is nearly impossible to safely train for real-world critical risks, such as high-speed collisions or hardware failures. Worse, real-world data is usually biased toward “normal” conditions, leaving robots unprepared for the…
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