Robotics & Automation News

Where Innovation Meets Imagination

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Carnegie Mellon develops robots that ‘learn household tasks by watching humans’

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By Aaron Aupperlee

Novel method developed by Carnegie Mellon University researchers enables robots to ‘learn in the wild’

The robot watched as Shikhar Bahl opened the refrigerator door. It recorded his movements, the swing of the door, the location of the fridge and more, analyzing this data and readying itself to mimic what Bahl had done.

It failed at first, missing the handle completely at times, grabbing it in the wrong spot or pulling it incorrectly. But after a few hours of practice, the robot succeeded and opened the door.

“Imitation is a great way to learn,” says Bahl, a PhD student at the Robotics Institute (RI) in Carnegie Mellon University’s School of Computer Science. “Having robots actually learn from directly watching humans remains an unsolved problem in the field, but this work takes a significant step in enabling that ability.” [Read more…] about Carnegie Mellon develops robots that ‘learn household tasks by watching humans’

Deep learning networks prefer the human voice – just like we do

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Columbia engineers demonstrate that AI systems might reach higher performance if programmed with sound files of human language rather than with binary data labels. (See video below.)

The digital revolution is built on a foundation of invisible 1s and 0s called bits.

As decades pass, and more and more of the world’s information and knowledge morph into streams of 1s and 0s, the notion that computers prefer to “speak” in binary numbers is rarely questioned.

According to new research from Columbia Engineering, this could be about to change. [Read more…] about Deep learning networks prefer the human voice – just like we do

Scientists develop new method of teaching surgery to a robot

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A team of scientists has developed a new way of teaching surgery to a robot that they say is far more efficient than other methods.

In a paper entitled Semi-Supervised Representation Learning from Surgical Videos, the team at Cornell University calls its algorithm Motion2Vec.

The team – which is backed by Intel’s AI Labs, Google Brain, and UC Berkeley – says Motion2Vec learns from video observations “by minimizing a metric learning loss”. [Read more…] about Scientists develop new method of teaching surgery to a robot