A Control Architecture of Robot-Assisted Intervention for Children with Autism Spectrum Disorders
A Control Architecture of Robot-Assisted Intervention for Children with Autism Spectrum Disorders
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DOI：
10.1155/2018/3246708
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发表时间：
2018-01-01
影响因子：
1.8
通讯作者：
Wei, Wei
中科院分区：
文献类型：
--
作者：
Feng, Yongli;Jia, Qingxuan;Wei, Wei
机器人辅助干预已成功应用于自闭症谱系障碍儿童的教育和培训。然而，有必要增加机器人的自主性，以减轻人类治疗师的负担。本文的重点是提出一个机器人架构，以提高自主性的机器人之间的互动过程中的机器人与自闭症儿童。该架构遵循感知-认知-行动的模式，并结合了传统自闭症干预方法和人类认知模型的一些概念。文中详细描述了机器人的体系结构，并在最后，一个典型的场景，以验证所提出的方法。
Robot-assisted intervention has been successfully applied to the education and training of children with autism spectrum disorders. However, it is necessary to increase the autonomy of the robot to reduce the burden on the human therapists. This paper focuses on proposing a robotic architecture to improve the autonomy of the robot in the course of the interaction between the robot and the child with autism. Following the model of perception-cognition-action, the architecture also incorporates some of the concepts of traditional autism intervention approach and the human cognitive model. The details of the robotic architecture are described in this paper, and in the end, a typical scenario is used to verify the proposed method.