Purdue University researchers have developed three algorithms that enable a wheeled robot to learn the meanings of words from sentences that describe example paths taken by the robot, to use the words to generate a sentence to describe the path of movement, and to comprehend the sentence in order to produce a new path of movement.
The small-wheeled robot, which is equipped with multiple cameras, ran numerous trials on an enclosed course containing several objects such as a chair, a traffic cone, and a table.
The sentences describing the path for the robot to take were provided by anonymous online sources, and an operator steered the robot to follow the paths described by the sentences.
The researchers say the robot used the algorithms to recognize words associated with objects within the course and words associated with directions of travel based on its sensory data.
From Purdue University News
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