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Embodied AI 101

Shaoqing Tan

Stay in the loop on research in AI and physical intelligence.

PublishesDailyEpisodes36Founded4 months ago
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Technology

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The path from simulated robot to real-world deployment has long been paved with domain randomization and crossed fingers. VIRAL, a new paper from NVIDIA and collaborators, achieves **54 consecutive loco-manipulation cycles** on a Unitree G1 humanoid—... more

**Why ENACT matters to you:** Traditional AI benchmarks often use static images or short navigation tasks, but home robots live in a **dynamic, interactive world**. ENACT is built on the idea that “intelligence arises from sensorimotor interaction, r... more

**Introduction.** Foundation models for robot manipulation have begun leveraging **egocentric human demonstration data** as a rich resource for learning complex skills. However, human video data varies widely in context and format, making it challeng... more

**Meta’s SAM‑3D** is a new **foundation model for 3D** vision that extends the 2D **Segment Anything Model (SAM)** into the third dimension. It actually consists of two specialized models – **SAM‑3D Objects** (for general 3D object and scene reconstr... more

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Embodied AI 101 launched 4 months ago and published 36 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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