  This article introduces "Baby Robot", a robot aiming to improve motor skills
of babies and toddlers. Authors developed a car-like toy that moves
autonomously using reinforcement learning and computer vision techniques. The
robot behaviour is to escape from a target baby that has been previously
recognized, or at least detected, while avoiding obstacles, so that the
security of the baby is not compromised. A myriad of commercial toys with a
similar mobility improvement purpose are into the market; however, there is no
one that bets for an intelligent autonomous movement, as they perform simple
yet repetitive trajectories in the best of the cases. Two crawling toys -- one
in representation of "Baby Robot" -- were tested in a real environment with
respect to regular toys in order to check how they improved the toddlers
mobility. These real-life experiments were conducted with our proposed robot in
a kindergarten, where a group of children interacted with the toys. Significant
improvement in the motion skills of participants were detected.
