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TechnologyScience

Embodied AI 101

Shaoqing Tan

Embodied AI 101 tracks the latest research at the intersection of AI and physical intelligence.

Robotics, manipulation, world models, and the path from digital intelligence to embodied agents — each episode breaks down recent papers and advances in the field.

We examine the methodology, real-world implications, and path to deployment. Covering robot learning, perception, control, and the fundamental challenge of grounding intelligence in the physical world.

New episodes daily.

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  • 115 episodes
  • Avg 25 min
  • English
Counted on this page — what you have heard stays on this device, so it is not something the list can be paged by.
  • October 5 · 28 min

    MotorMind: Giving a Frozen VLM the Controls

    MotorMind leverages a frozen VLM with mid-level prospective actions and asynchronous feedback to control robots zero-shot on manipulation tasks, requiring no task-specific training. This advances robot foundation models by demonstrating strong generalizat

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  • October 4 · 29 min

    Digit Leaves the Lab: The Real Lesson of 500 Demonstrations

    An end-to-end policy trained on ~500 teleoperation demonstrations combined with a sim-based whole-body controller achieves 80–90% success on unseen, chaotic real-world environments without any zero-shot fine-tuning. Demonstrates strong generalization of l

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  • October 4 · 28 min

    VLS: Steering Frozen Robot Policies Without Retraining

    VLS steers frozen diffusion and flow-matching robot policies using vision-language models to handle out-of-distribution changes such as novel obstacles and lighting conditions, requiring no additional training data. This advances the adaptability of robot

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  • October 2 · 30 min

    Fast Plans Are Not Enough: Does the Robot Actually Use Its Plan?

    Introduces a hierarchical VLA architecture that better bridges high-level language planning and low-level robot execution, reducing the gap between what a model plans and what it physically does. This advances robot foundation models by improving real-wor

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  • October 2 · 10 min

    Atlas's New Hands: Built to Learn, Not Just to Look Human

    Atlas is upgraded with 13 DoF dexterous hands featuring tactile sensing, direct drive actuation, and sim-to-real RL training, designed for real tool use and in-hand manipulation at scale. Represents a significant hardware-software milestone for humanoid d

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  • October 1 · 28 min

    Astra Gets a Body: What Zero-Shot Humanoid Control Actually Transfers

    Astra demonstrates zero-shot open-ended pick-and-place on a physical humanoid robot, bridging simulation tooling directly to real-world execution without task-specific fine-tuning. This represents a meaningful step in sim-to-real generalization for humano

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  • September 30 · 29 min

    Physical Coding: Robots That Check Their Work—and Keep the Fixes

    A new paper introduces self-evolving coding agents for robotics that represent task state and execution as code, enabling robots to verify, recover from failures, and evolve policies through real-world experience via the HexaAnything harness. This advance

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  • September 30 · 26 min

    SpatialClaw: Give the VLM a Geometry Notebook

    SpatialClaw is an NVIDIA spatial reasoning agent that uses Python-based code generation to perform 3D spatial reasoning, achieving +13.6 average improvement across 20 benchmarks with open vision-language models. The approach advances how embodied agents r

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  • September 29 · 29 min

    Real-Time EXPO-FT: Slow VLA, Fast Corrections, Better Control

    Async RL fine-tuning via EXPO-FT enables π0.5 to handle highly dynamic manipulation tasks such as ball balancing and striking in real time. The approach demonstrates that post-training with RL can unlock dynamic capabilities not achievable through imitati

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  • September 29 · 28 min

    Aether: From Plausible Futures to Feasible Robot Plans

    Aether's unified world model jointly learns environment dynamics and long-term physical state evolution under physical constraints, enabling robots to plan feasible trajectories over extended horizons. The demo highlights how constraint-aware world modeli

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  • September 28 · 27 min

    ARLI: Fixing the Missing State in Asynchronous Robot RL

    Proposes a framework that restores the Markov property for RL fine-tuning of VLAs despite asynchronous inference delays, enabling effective RL training on large vision-language-action models. This directly unblocks post-training RL for frontier robot poli

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  • September 28 · 29 min

    Flex-π: Teach Geometry, Choose How Much to Imagine

    A 6B-parameter world-action model that jointly predicts 3D pointmaps and DINO features alongside RGB frames, improving demonstration efficiency, generalization, and long-horizon task performance in robotics. Integrating structured 3D world predictions int

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  • September 27 · 28 min

    SkipVLA: Let the Planner Move, Let the VLA Manipulate

    SkipVLA proposes a hybrid architecture combining a classical planner with a Vision-Language-Action model for manipulation tasks, achieving 2.5x faster execution and 59.6% lower latency on a physical robot arm. The approach demonstrates that structured pla

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  • September 27 · 28 min

    ForeDrive: A World Model Is Only Useful If It Changes the Plan

    ForeDrive introduces a planning-relevant latent world model that guides autonomous driving through foresight, enabling the agent to anticipate future states before acting. The approach advances world-model-based driving by tightly coupling latent predicti

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  • September 26 · 29 min

    DO AS I DO: Making Human Video Executable

    A new algorithm reconstructs and retargets monocular RGB (or synthetically generated) videos to high-DoF robot hands, enabling scalable dexterous manipulation data collection that outperforms current state-of-the-art retargeting methods. This matters beca

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  • September 26 · 30 min

    GAM: Ground the Target Before You Learn the Action

    GAM is a robot foundation model that conditions action chunk prediction on 3D grounded inputs — including language, 3D point clouds, and bounding boxes — alongside robot history, achieving strong results on LIBERO benchmarks and real-robot tasks. The 3D g

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Showing 41–60 of 115 episodes