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    Reimagine Robotics Cuts Robot Training to 10 Minutes

    Tweet reports on-site physical corrections let factory workers teach robots new tasks.

    HI
    1 Source, 32d ago, first seen 32d ago

    TLDR

    A post by @heetezition states that Reimagine Robotics reduced the time needed to teach a new factory robot behavior from roughly one day of engineering work to about 10 minutes. The approach relies on letting the operator physically correct the robot on site instead of scaling up a foundation model. When the robot performs a task incorrectly, the worker grabs the arm, guides the proper motion, and resumes training afterward. The post presents this method as the key to faster on-the-job robot adaptation in factory settings.

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    1 Source, first seen 32d ago

    Combined views

    31.4K

    1 Source, first seen 32d ago

    143 likes
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    143 likes
    5 comments
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    11 reposts

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    5 comments
    83 saves
    11 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    1 Source

    @heetezitionReimagine Robotics says it cut a new factory robot behavior from ~1 day of engineering to ~10 minutes. the trick is not a bigger foundation model. it’s letting the worker physically correct the robot on-site. when the robot gets something wrong, the operator can grab the arm, guide the right motion, and keep post-training the system around the actual workflow. in a hard-drive disassembly deployment, Reimagine says that loop reduced development + testing time for a new behavior from roughly 1 day to 10 minutes. at another customer, employees expanded the robot from unloading 3D printers to washing, curing, and drying parts themselves. that feels like a very practical version of robot learning: ship something useful, then let the people who understand the job teach the edge cases. https://www.reimaginerobotics.ai/

    1 Source

    @heetezitionReimagine Robotics says it cut a new factory robot behavior from ~1 day of engineering to ~10 minutes. the trick is not a bigger foundation model. it’s letting the worker physically correct the robot on-site. when the robot gets something wrong, the operator can grab the arm, guide the right motion, and keep post-training the system around the actual workflow. in a hard-drive disassembly deployment, Reimagine says that loop reduced development + testing time for a new behavior from roughly 1 day to 10 minutes. at another customer, employees expanded the robot from unloading 3D printers to washing, curing, and drying parts themselves. that feels like a very practical version of robot learning: ship something useful, then let the people who understand the job teach the edge cases. https://www.reimaginerobotics.ai/