iCub robot uses same method as children to deduce new vocabulary
A new study by researchers at Lancaster University has used the iCub robot, that has deep learning capabilities, to provide insights into early learning in children. While the robot performed to the same level as the children in the "mutual exclusivity" technique, in which the aim was to learn the name of the new toy through a process of elimination, the study showed that "some aspects of early learning are based on an astonishingly powerful association-making ability which allows babies and toddlers to rapidly absorb information from the very complicated learning environment," according to Dr Katie Twomey, one of the study's authors.

Kids can pick up new words pretty quickly – just ask any parent who's accidentally sworn in front of their little ones. In order to better understand the mechanics of early learning, a new study tested the object association skills of both children and robots, and found that kids use a robotic technique that may not be based on conscious thought.

As a control group, the team began with human children. The kids, two-and-a-half years old, were tasked with picking a certain toy out of a lineup of either three, four, or five objects, with one of the objects being unfamiliar to them. The aim was to get them to learn the name of the new toy through the process of elimination – the "mutual exclusivity" technique, as the study calls it.

If, for example, a child is presented with three toys – one brown, one yellow and one orange, – they may already know that the brown one is called a rabbit and the yellow one is a duck. When asked "can you show me the giraffe?", the majority of the children were able to figure out that the orange toy was the target.

For the next tests, the researchers put a robot called iCub through the same paces. This little guy is an "embodied neural network" – that is, an artificial intelligence system with deep learning capabilities, wrapped in a robotic body with the proportions of a toddler. iCub has been used in language learning studies in the past, and was even lucky enough to be nominated to carry the torch before the London 2012 Olympic Games.

The iCub robot was put to the test in picking a new object out of a lineup of familiar ones, and it performed just as well as the human children Lancaster University

The robots were pre-trained to recognize 12 objects, and then, like the human children, were asked to pick out certain ones from a group, with the targets being a mix of both known and novel items. Interestingly, the robots learned the new words in exactly the same way, and performed to the same level as the kids.

"This new study shows that mutual exclusivity behavior can be achieved with a very simple 'brain' that just learns associations between words and objects," says Dr Kaite Twomey, one of the study's authors. "In fact, intelligent as iCub seems, it actually can't say to itself 'I know that the brown toy is a rabbit, and I know that that the yellow toy is a duck, so this new toy must be giraffe', because its software is too simple. This suggests that at least some aspects of early learning are based on an astonishingly powerful association-making ability which allows babies and toddlers to rapidly absorb information from the very complicated learning environment."

The research was published in the journal Interaction Studies.

Source: Lancaster University