In recent years, edge computing has served as a paradigm that enables many future technologies like AI, Robotics, IoT, and high-speed wireless sensor networks (like 5G) by connecting cloud computing facilities and services to the end users. Especially in medical and healthcare applications, it provides remote patient monitoring and increases voluminous multimedia. From the robotics angle, robot-assisted therapy (RAT) is an active-assistive robotic technology in rehabilitation robotics, attracting many researchers to study and benefit people with disability like autism spectrum disorder (ASD) children. However, the main challenge of RAT is that the model capable of detecting the affective states of ASD people exists and can recall individual preferences. Moreover, involving expert diagnosis and recommendations to guide robots in updating the therapy approach to adapt to different statuses and scenarios is a crucial part of the ASD therapy process. This paper proposes the architecture of edge cognitive computing by combining human experts and assisted robots collaborating in the same framework to help ASD patients with long-term support. By integrating the real-time computing and analysis of a new cognitive robotic model for ASD therapy, the proposed architecture can achieve a seamless remote diagnosis, round-the-clock symptom monitoring, emergency warning, therapy alteration, and advanced assistance.

翻译：近年来，边缘计算作为一种范式，通过将云计算设施和服务连接到终端用户，为人工智能、机器人技术、物联网及高速无线传感器网络（如5G）等未来技术提供了支撑。尤其在医疗健康应用中，它实现了远程患者监测并增加了海量多媒体数据。从机器人角度来看，机器人辅助治疗是康复机器人领域中的一种主动辅助机器人技术，吸引了众多研究者探索其如何使自闭症谱系障碍儿童等残疾人受益。然而，RAT的主要挑战在于：需要具备检测ASD患者情感状态的模型，并能记忆个体偏好。此外，引入专家诊断和建议以指导机器人更新治疗方法，从而适应不同状态和场景，是ASD治疗过程中的关键环节。本文提出了一种边缘认知计算架构，通过将人类专家与辅助机器人整合在同一框架中协同工作，为ASD患者提供长期支持。通过集成针对ASD治疗的新型认知机器人模型的实时计算与分析功能，所提出的架构能够实现无缝远程诊断、全天候症状监测、紧急预警、治疗调整及高级辅助。