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    Robots can now learn from humans by watching 'how-to' videos
    Futurology

    Robots can now learn from humans by watching ‘how-to’ videos

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    1. MetaKnowing on

      “Robots have long struggled with flexibility. Until now, even the most advanced robotic systems have required massive amounts of data and painstaking instruction to complete basic tasks.

      If a robot dropped a tool or failed to follow a script precisely, it would typically shut down or fail completely. However, a new breakthrough from [Cornell University](https://www.cornell.edu/) might change that dynamic entirely.

      The new technology allows robots to learn complex, multi-step tasks by watching just a single human demonstration, even if the way humans perform a task differs significantly from how robots do.

      For decades, robotic learning has depended heavily on imitation. In a method known as “[imitation learning](https://www.earth.com/news/cultural-learning-begins-in-infancy-during-parent-child-imitation/),” robots watch human demonstrations to acquire new skills.

      But this training has required extremely controlled demonstrations – human movements had to be smooth, precise, and consistent, or the robot wouldn’t be able to replicate the actions. Any deviation would result in failure.”

    2. RandomGenerator_1 on

      Joke’s on them. Palladyne AI already does this and already has their products ready to sell.

    3. Storyteller-Hero on

      One step closer to the dawn of a new era under our future machine overlords.

      (Six feet under that is.)

      ![gif](emote|free_emotes_pack|sunglasses)

    4. PaperbackBuddha on

      Next we’ll have robots making YouTube channels of how-to videos, taking up 40% of the time asking us to smash that subscribe button.

    5. frickin_420 on

      Humans are happy when Mr Beast makes huge explosions beep I will also make humans happy this way

    6. RegisteredJustToSay on

      Little do they know online tutorials are so bad because they’ve been low effort SEO bait for over a decade that this’ll actually add years to the AI-takeover clock.