Humanoid Robot Learns Language Like a Baby
With the help of human instructors, a robot has learned to talk like a human infant, learning the names of simple shapes and colors.
“Our work focuses on early stages analogous to some characteristics of a human child of about 6 to 14 months, the transition from babbling to first word forms,” wrote computer scientists led by Caroline Lyon of the University of Hertfordshire in a June 13 Public Library of Science One study.
Named DeeChee, the robot is an iCub, a three-foot-tall open source humanoid machine designed to resemble a baby. The similarity isn’t merely aesthetic, but has functional purpose: Many researchers think certain cognitive processes are shaped by the bodies in which they occur. A brain in a vat would think and learn very differently than a brain in a body.
This field of study is called embodied cognition and in DeeChee’s case applies to learning the building blocks of language, a process that in humans is shaped by an exquisite sensitivity to the frequency of sounds.
The outlines of this might seem self-evident — babies learn by listening — but nuances of the necessary interactions couldn’t be replicated by a human talking to a glowing screen.
“Learning needs interaction with a human, and robot embodiment evokes appropriate reactions in a human teacher, which disembodied software does not,” said Lyon.