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Allen Ren
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@allenzren

Allen Ren

@allenzren
Generalist robot policy @physical_int
allenzren.github.io
Joined August 2019
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  • Pinned
    @allenzren
    Allen Ren
    @allenzren
    Apr 16
    I remember sitting down at my desk for the first time, @QuanVng showing me the starter project: let’s make pre-trained models work without fine-tuning? With π0.7, our pre-trained model works out of the box across so many tasks, matching or even outperforming SFT or RL
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  • @allenzren
    Allen Ren
    @allenzren
    Jul 16
    I will be presenting π0.7 at the FM4RoboPlan workshop tomorrow at RSS! I’ll be talking about why I believe diverse conditioning is the key to unlocking learning from diverse data. Time: 11:25-11:50am Room: UTS CB11.B2.103 (Building 11, Level B2, Room 103)
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  • @allenzren
    Allen Ren
    @allenzren
    Mar 28
    One big step towards “one model that controls any robot to do any task”! It was super fun to help put our model in the sky.
    @StanfordMSL
    Stanford MSL
    @StanfordMSL
    Mar 28
    π, But Make It Fly ✈️ We fine-tuned π0, a VLA model pretrained entirely on manipulators, to fly a drone that picks up objects, navigates through gates, and composes both skills from language commands.
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  • @allenzren
    Allen Ren
    @allenzren
    Mar 3
    Our model finally has memory! Check out the really cool demos we put together to showcase the new capabilities 1. Using memory while keeping the system real-time leads us to more creative solutions 2. Diverse data sources help solve the causal confusion
    @physical_int
    Physical Intelligence
    @physical_int
    Mar 3
    We’ve developed a memory system for our models that provides both short-term visual memory and long-term semantic memory. Our approach allows us to train robots to perform long and complex tasks, like cleaning up a kitchen or preparing a grilled cheese sandwich from scratch 👇
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  • @allenzren
    Allen Ren
    @allenzren
    Feb 25
    Seeing pi06 tirelessly delivering values in real deployments was like a dream coming true!
    @physical_int
    Physical Intelligence
    @physical_int
    Feb 25
    Replying to @physical_int
    We also work with @Ultraroboticsco to automate e-commerce order packing. Our models have been packaging real customer orders at live warehouse deployments in the U.S.
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