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Artwork for Embodied AI 101

Embodied AI 101

Shaoqing Tan
Robotics
Reinforcement Learning
Machine Learning
Embodied AI
Artificial Intelligence
Robotic Manipulation
Deep Learning
Robot Manipulation
NVIDIA
Vision-Language-Action Models
Imitation Learning
Hugging Face
Human-To-Robot Transfer
Vision Language Action
Teleoperation
Vision Encoders
Controllable Video Models
Nested Learning
Dex Screw
Generative Video Models

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

PublishesDailyEpisodes192Foundeda year ago
Number of ListenersCategories
TechnologyScience

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Artwork for Embodied AI 101

Latest Episodes

A unified open framework for real-robot policy iteration that integrates teleoperation data collection, model training, deployment, and evaluation into a single closed-loop pipeline.

First large-scale model to learn complex physical dynamics, visual reasoning, and long-horizon planning directly from visual demonstrations without text chains; released with 310k SFT and 3k RL samples across 16 sources alongside the VR-X benchmark.

Converts any pretrained vision-language model into a vision-language-action model with zero architectural changes by prepending natural-language action descriptions; reaches 90.8% success on LIBERO with a 2B model after less than 6 hours of post-trai... more

InternVLA-A15 is a new Vision-Language-Action (VLA) model released by InternRobotics, targeting robotic manipulation and control tasks. The model is accompanied by a Hugging Face collection and an associated technical paper.

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Recent Guests

Jim Fan
Executive at NVIDIA presenting on embodied AI and robotics roadmap
NVIDIA
Episode: # Robotics: The Endgame
Chris Paxton
A leading figure at Agility Robotics discussing world models in robotics
Agility Robotics
Episode: World Models for Robots: The Next Big Leap?
Boyuan Chen
Lead researcher on the Large Video Planner project.
MIT
Episode: Episode 71: Large Video Planner: Instruction-Guided Video Plans for General Robot Control
Tianyuan Zhang
Co-researcher on the Large Video Planner project.
UC Berkeley
Episode: Episode 71: Large Video Planner: Instruction-Guided Video Plans for General Robot Control

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Frequently Asked Questions About Embodied AI 101

What is Embodied AI 101 about and what kind of topics does it cover?

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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Which podcasts are similar to Embodied AI 101?

These podcasts share a similar audience with Embodied AI 101:

1. All-In with Chamath, Jason, Sacks & Friedberg

How many episodes of Embodied AI 101 are there?

Embodied AI 101 launched a year ago and published 192 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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What guests have appeared on Embodied AI 101?

Recent guests on Embodied AI 101 include:

1. Jim Fan
2. Chris Paxton
3. Boyuan Chen
4. Tianyuan Zhang

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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