"It’s a new way of controlling the robot that I actually like to think of as being natural, in the sense that we aim to have the robot adapt to what the human would like to do,” says MIT roboticist Daniela Rus, a co-author on the study

"It’s a new way of controlling the robot that I actually like to think of as being natural, in the sense that we aim to have the robot adapt to what the human would like to do,” says MIT roboticist Daniela Rus, a co-author on the study

Very interesting the communication mechanism used.

#ai

Originally shared by Ward Plunet

Baxter the Robot Fixes Its Mistakes by Reading Your Mind

The underlying technology is shiny and new and complex, but the idea is straightforward. When you notice a mistake, your brain emits a faint type of signal, known in neuroscience as an error-related potential. But that’s among all the other electrical chaos coursing through your brain that an EEG picks up, so machine learning algorithms sniff out the signal. When Baxter is about to make a mistake, the system translates the error-related potentials in the woman’s brain into code a robot understands. The human and machine are communicating at the most basic of levels—not speech but the electrical signals that prelude speech. “The paper shows an interesting capability in terms of doing this in real time,” says Carnegie Mellon roboticist Aaron Steinfeld. The researchers’ machine learning algorithms are so powerful, they can sort the error-related potentials from the other electrical noise to immediately create something the robot can comprehend.
https://www.wired.com/2017/03/baxter-robot-fixes-mistakes-reading-mind/