Japanese Mad Scientists Develop Robot That Cannot Be Beat In Rock Paper Scissors

This is why I have long refused to play rock paper scissors with robots. They are a bunch of lousy cheaters. Researchers at the University of Tokyo have developed a robot hand that win 100%of the time by using a high-speed camera and recognizes within one millisecond which shape the human hand is making. It then gives the corresponding winning shape.


What concerns me most is neither Obama nor Romney are dealing with this robot menace to playgrounds around the world. The Japanese have just created a robot army that can defeat the very best we have to offer among schoolyard truants.

You may think this seems like a huge waste of time but we will long regret our passivity when the Japanese Prime Minister offers on long future trade negotiation to settle our difference with a simple game of rock paper scissors between friends.

17 thoughts on “Japanese Mad Scientists Develop Robot That Cannot Be Beat In Rock Paper Scissors”

  1. Darren, that question was answered in, like, 1967. :-).

    A 2008 reprise by the lady herself:

  2. Patric contributed:

    Now close your eyes and fast forward 30 years.

    We ain’t seen nuthin’ yet.

    Yeah, perhaps the robot might be able to predict what women want.

    ʕ(ʘ¿ʘ)ʔ

  3. When the robot makes the sign language gesture for “42” it will be worth all the effort.

  4. lottakatz
    1, September 18, 2012 at 7:13 am
    ——————————————–
    🙂

  5. Agreed Blouise, or Ted Williams ability to see the stitches on a baseball travelling 95mph toward him.

  6. For fans of Frank Langella allow me to suggest a flick that’s out called, Robot and Frank.

  7. … a high-speed camera … recognizes within one millisecond …

    The operation is performed by software algorithms working with what the camera hardware “sees”.

    The working together at high speed is what makes this stellar technology.

    This is the type of technology that is used in drone operations, driver-less cars, driver assist features in cars, aircraft autopilot, Mars Rover navigation, and the like.

  8. The only way to defeat this monster is with more variables where the hand shape is initially similar:

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