With online training and teleoperation data, combined with Being-H's strong pretraining and generalization, new skill learning costs are reduced by over 90%—from thousands of samples to tens, and from days to minutes

Pretrained on human hand videos, Being-H maps naturally to robotic embodiments, supporting dexterous hands of any form factor, size, or finger count across mainstream hardware platforms

Built on a universal vision-language-action foundation (grasp, push, pull, rotate), the model transfers across environments and evolves into task-specific skills through targeted post-training