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    DexForce bets simulated training can help humanoid robots tackle real-world tasks

    Reuters describes a virtual robot practicing object placement as its arm angles, table color and objects change.

    ReutersRE
    1 Source, 1h ago, first seen 1h ago

    TLDR

    Reuters describes a screen at Chinese startup DexForce showing a virtual robot repeatedly placing objects on a table as its arm angles, the table color and the objects change. DexForce is betting that simulated training can help address a major challenge for humanoid robots: learning to perform a wide range of real-world tasks without human assistance.

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    18.9K

    1 Source, first seen 1h ago

    3 likes7 comments1 reposts

    Combined views

    18.9K

    1 Source, first seen 1h ago

    3 likes7 comments1 reposts

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    1 Source

    Reuters@ReutersAt the offices of Chinese startup DexForce, a screen shows a virtual robot placing objects on a table. It repeats the task as the angle of its arms, the colour of the table and the objects themselves change. DexForce is betting that such simulated training can help solve one of the humanoid-robot industry's biggest challenges: teaching machines to perform a wide range of real-world tasks without human assistance https://reut.rs/3VJX9Rr1h
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    1 Source

    Reuters@ReutersAt the offices of Chinese startup DexForce, a screen shows a virtual robot placing objects on a table. It repeats the task as the angle of its arms, the colour of the table and the objects themselves change. DexForce is betting that such simulated training can help solve one of the humanoid-robot industry's biggest challenges: teaching machines to perform a wide range of real-world tasks without human assistance https://reut.rs/3VJX9Rr1h
    Today's Rank

    #8

    Today's Rank

    #8