This Robot Keeps Trying Until He Gets it Right

on May 29, 2015 at 7:25 am

Robot at Berkeley learns via Trial and Error.

BRETT (Berkeley Robot for the Elimination of Tedious Tasks) is a machine that takes a mundane task such as opening a bottle and learns to do it well by attempting multiple times. Using neural network based deep learning, it’s algorithm helps it learn from its failure and therefore find success. This is mirrors curiously close to the developmental process of the human brain evolving the idea of a program into an assistant that wouldn’t need a new set of code to perform a new task, but rather enough time to discover how to do it effectively.

BRETT is very much still an infant however. On average it can take him up to 3 hours to learn even the simplest tasks but the technology is promising and a very small grain on the milestone that will be self-teaching A.I.

Source: Engadget

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Author

Angel Damion Robles

Angel started writing at a young age keeping a journal since he was 12 years old. By the time he was 15 he had a binder overflowing with ideas. His senior year of high school he received a scholarship for his writing in English and an award for writing and directing a full length movie for his film club. At 19 he went to film school in LA with a focus on screenwriting where he wrote a series of shorts. He is a futurist and keeps up to date about current tech, especially automation. He is currently studying Computer Science in Berkeley and interested in writing code and working with hardware. Some interesting facts: He knows too much about Google, loves cats, and has one white cat named Nasa.