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Title    US Marines Defeat DARPA Robot by Hiding Under a Cardboard Box
Date    Friday January 27 2023, @04:36PM
Author    janrinok
Topic   
from the dept.
https://soylentnews.org/article.pl?sid=23/01/26/162241

owl writes:

https://www.extremetech.com/extreme/342413-us-marines-defeat-darpa-robot-by-hiding-under-a-cardboard-box

The Pentagon's Defense Advanced Research Projects Agency (DARPA) has invested some of its resources into a robot that's been trained—likely among other things—to identify humans. There's just one little problem: The robot is cartoonishly easy to confuse.

Army veteran, former Pentagon policy analyst, and author Paul Scharre is gearing up to release a new book called Four Battlegrounds: Power in the Age of Artificial Intelligence. Despite the fact that the book isn't scheduled to hit shelves until Feb. 28, Twitter users are already sharing excerpts via social media. This includes The Economist's defense editor, Shashank Joshi, who shared a particularly laughable passage on Twitter.

In the excerpt, Scharre describes a week during which DARPA calibrated its robot's human recognition algorithm alongside a group of US Marines. The Marines and a team of DARPA engineers spent six days walking around the robot, training it to identify the moving human form. On the seventh day, the engineers placed the robot at the center of a traffic circle and devised a little game: The Marines had to approach the robot from a distance and touch the robot without being detected.

DARPA was quickly humbled. Scharre writes that all eight Marines were able to defeat the robot using techniques that could have come straight out of a Looney Tunes episode. Two of the Marines somersaulted toward the center of the traffic circle, thus using a form of movement the robot hadn't been trained to identify. Another pair shuffled toward the robot under a cardboard box. One Marine even stripped a nearby fir tree and was able to reach the robot by walking "like a fir tree" (the meaning of which Twitter users are still working to figure out).


Original Submission

Links

  1. "owl" - https://soylentnews.org/~owl/
  2. "Original Submission" - https://soylentnews.org/submit.pl?op=viewsub&subid=58349

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