EgoNav: Diffusion-Based Humanoid Navigation from Human Egocentric Video

from Embodied AI 101 Hosted by Shaoqing Tan

Diffusion-based humanoid navigation trained solely on 5 hours of human egocentric video data, enabling zero-shot deployment on Unitree G1 for complex behaviors like handling glass walls, crowds, and dynamic obstacles via 360° visual memory and hybrid trajectory sampling; upcoming release of dataset, models, and code.

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EgoNav: Diffusion-Based Humanoid Navigation from Human Egocentric Video

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This episode is 42 minutes long.

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This episode was published on April 3, 2026.

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