The Action Is Missing: Turning Human Video into Robot Control
from Embodied AI 101 Hosted by Shaoqing Tan
Recent progress in generalizable embodied control has been driven by large-scale pretraining of Vision-Language-Action (VLA) models. However, most existing approaches rely on large collections of robot demonstrations, which are costly. This survey covers scalable vision-language-action learning using human-centric data, particularly human videos, as an alternative to expensive robot demonstrations.
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This episode is 34 minutes long.
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This episode was published on August 7, 2026.
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