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.
翻译:文章介绍了“婴儿机器人”,这是一个旨在提高婴儿和幼儿运动技能的机器人。作者开发了一个汽车玩具,使用强化学习和计算机视觉技术自动移动。机器人的行为是逃离一个先前已经承认的目标婴儿,或至少检测到的婴儿,同时避免障碍,这样婴儿的安全就不会受到损害。许多具有类似的移动性改善目的的商业玩具进入市场;然而,没有人为智能自主运动打赌,因为他们在最好的案例中执行简单而重复的轨迹。两个爬动的玩具(一个是“婴儿机器人”的缩放玩具)在真实的环境中对普通玩具进行了测试,以检查它们如何改善幼儿的机动性。这些真实生活实验是在幼儿园里与我们提议的机器人一起进行的,那里有一群儿童与玩具互动。检测到了参与者运动技能的重大改进。