May 19, 2011 11:02 pm EDT

Tenacious robot ashamed of creator's performance, shows mankind how it's done (video)

Looks like researchers have made another step towards taking Skynet live: giving robots the groundwork for gloating. A Swiss team of misguided geniuses have developed learning algorithms that allow robot-kind to learn from human mistakes. Earthlings guide the robot through a flawed attempt at completing a task, such as catapulting a ball into a paper basket; the machine then extrapolates its goal, what went wrong in the human-guided example, and how to succeed, via trial and error. Rather than presuming human demonstrations represent a job well done, this new algorithm assumes all human examples are failures, ultimately using their bad examples to help the 'bot one-up its creators. Thankfully, the new algorithm is only being used with a single hyper-learning appendage; heaven forbid it should ever learn how to use the robot-internet.

Tenacious robot ashamed of creator's performance, shows mankind how it's done (video) originally appeared on Engadget on Thu, 19 May 2011 19:02:00 EDT. Please see our terms for use of feeds.

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