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    GPT-6 Astra reportedly learns robot tasks from video without a text prompt

    The user describes a robotics demo with a different environment, camera angle and layout, and says Astra chooses between end-effector and joint-space control.

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    TLDR

    A user describes GPT-6 Astra performing in-context learning for mobile manipulation: inferring what to do from video without a text prompt. They say it handles a different environment, camera angle and layout, and chooses between directing the robot’s working end and controlling its joints. Another user sharing the demo calls the development “amazing for deployment speed” and “frustrating for foundational models.”

    Combined views

    66K

    5 Sources, first seen 20d ago

    Combined views

    66K

    5 Sources, first seen 20d ago

    647 likes
    20d ago
    first seen 20d ago
    647 likes
    42 comments
    302 saves
    111 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    42 comments
    302 saves
    111 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    Today's Rank

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    5 Sources

    @ax_peyGpt-6 astra can do in-context learning on mobile manipulation! • Different environment • Different camera angle • Different layout No text prompt, it infers from video It even chooses when to use end-effector or joint space Trace recording after ⬇️
    @chris_j_paxtonRT @ax_pey: Gpt-6 astra can do in-context learning on mobile manipulation! • Different environment • Different camera angle • Different la…
    @_varunnairAstra achieving ICL after the biggest companies in robotics achieved ICL last month… is amazing for deployment speed and frustrating for foundational models
    @__Rhodium__Is Astra the ChatGPT moment for Robotics? A few insights: 1) Strong in-context learning In 3 tries, it went from learning the controls and understanding the environment to accomplishing a task. The model reasons through its mistakes; notice the change in grip angle and carry height. It's slow (more on this later) but it's clearly understanding the controls and the space in which it's interacting. 🧵(1/5)

    5 Sources

    @ax_peyGpt-6 astra can do in-context learning on mobile manipulation! • Different environment • Different camera angle • Different layout No text prompt, it infers from video It even chooses when to use end-effector or joint space Trace recording after ⬇️
    @chris_j_paxtonRT @ax_pey: Gpt-6 astra can do in-context learning on mobile manipulation! • Different environment • Different camera angle • Different la…
    @_varunnairAstra achieving ICL after the biggest companies in robotics achieved ICL last month… is amazing for deployment speed and frustrating for foundational models
    @__Rhodium__Is Astra the ChatGPT moment for Robotics? A few insights: 1) Strong in-context learning In 3 tries, it went from learning the controls and understanding the environment to accomplishing a task. The model reasons through its mistakes; notice the change in grip angle and carry height. It's slow (more on this later) but it's clearly understanding the controls and the space in which it's interacting. 🧵(1/5)