Categories: FAANG

Humanoid Policy ~ Human Policy

Training manipulation policies for humanoid robots with
diverse data enhances their robustness and generalization across tasks and platforms. However, learning solely from robot demonstrations is labor-intensive, requiring expensive tele-operated data
collection which is difficult to scale. This paper investigates a more scalable data source, egocentric human demonstrations, to serve as cross-embodiment training data for robot learning. We mitigate the embodiment gap between humanoids and humans
from both the data and modeling perspectives. We collect an egocentric task-oriented dataset (PH2D)…
AI Generated Robotic Content

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https://preview.redd.it/j6qshjdiao7f1.jpg?width=1182&format=pjpg&auto=webp&s=9f5da751e086c7c3a8cd882f5b7648211daae50c https://reddit.com/link/1leexi9/video/bs096nikao7f1/player Link to the post: https://x.com/viccpoes/status/1934983545233277428 submitted by /u/LatentSpacer [link] [comments]

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