Ego2Robot: Scalable Robot Data Synthesis from Egocentric Human Data

Learning generalizable robot manipulation policies requires large-scale and diverse demonstration data. Egocentric human manipulation videos offer rich scene and task diversity, and prior work has shown that retargeting and rendering such videos into robot-format data can yield effective per-task policies at small scale. However, whether this approach can provide pretraining benefits for vision-language-action models at scale remains unexplored. We present Ego2Robot, a scalable pipeline that con

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ethics.ai (2 August 2026), “Ego2Robot: Scalable Robot Data Synthesis from Egocentric Human Data,” evidence record 16598, https://ethics.ai/record/16598 (originally published by HuggingFace Daily Papers).

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