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| Publishes | Daily | Episodes | 242 | Founded | a year ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyScience | |||

Real-to-Sim-to-Real: Learning Agile and Robust Recovery Skills With Terrain Imagination via Adversarial Imitation
Partially Observable Adversarial Patch Attacks on Vision-Language-Action Models in Robotics
Presents a scalable approach to robot task learning enabling acquisition of a large number of tasks within a single day. Details were discussed in a podcast episode released July 30, 2026.
Collects 1M frames (27.8 hours) of egocentric human grasping video and trains a flow-matching model to predict and retarget hand poses to robots. Achieves large zero-shot gains on diverse everyday grasping tasks without requiring robot-specific train... more
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #140 |
Listeners, social reach, demographics and more for this podcast.
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The collection centers on embodied AI and robotics, with a strong emphasis on vision-language-action (VLA) models, cross-embodiment transfer, and world-modeling for manipulation and locomotion. Coverage spans foundational ideas like latent action spaces, physics-informed world models, and language-guided control, plus practical demonstrations of dexterous manipulation, teleoperation, motor learning, and sim-to-real transfer. Across episodes, the discussions highlight scalable data strategies (from egocentric human videos to robot demonstrations), open-source tooling, and benchmarking in simulated and real hardware environments. Notable themes include cross-embodiment generalization, the integration of perception, language, and action to ena... more
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Embodied AI 101 launched a year ago and published 242 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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Recent guests on Embodied AI 101 include:
1. Jim Fan
2. Chris Paxton
3. Boyuan Chen
4. Tianyuan Zhang
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