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Research and development of service robot platform based on artificial psychology

机译:基于人工心理学的服务机器人平台的研究与开发

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摘要

Some related works about the control architecture of robot system are briefly summarized. According to the discussions above, this paper proposes control architecture of service robot based on artificial psychology. In this control architecture, the robot can obtain the cognition of environment through sensors, and then be handled with intelligent model, affective model and learning model, and finally express the reaction to the outside stimulation through its behavior. For better understanding the architecture, hierarchical structure is also discussed. The control system of robot can be divided into five layers, namely physical layer, drives layer, information-processing and behavior-programming layer, application layer and system inspection and control layer. This paper shows how to achieve system integration from hardware modules, software interface and fault diagnosis. Embedded system GENE-8310 is selected as the PC platform of robot APROS-I, and its primary memory media is CF card. The arms and body of the robot are constituted by 13 motors and some connecting fittings. Besides, the robot has a robot head with emotional facial expression, and the head has 13 DOFs. The emotional and intelligent model is one of the most important parts in human-machine interaction. In order to better simulate human emotion, an emotional interaction model for robot is proposed according to the theory of need levels of Maslom and mood information of Siminov. This architecture has already been used in our intelligent service robot.
机译:简要总结了有关机器人系统控制架构的一些相关工作。根据以上讨论,本文提出了一种基于人工心理学的服务机器人控制架构。在这种控制架构中,机器人可以通过传感器获得对环境的认知,然后通过智能模型,情感模型和学习模型进行处理,最后通过其行为表达对外界刺激的反应。为了更好地理解体系结构,还讨论了层次结构。机器人的控制系统可分为物理层,驱动层,信息处理和行为编程层,应用层和系统检查与控制层五层。本文展示了如何通过硬件模块,软件接口和故障诊断来实现系统集成。选择嵌入式系统GENE-8310作为机器人APROS-I的PC平台,其主要存储介质为CF卡。机器人的手臂和身体由13个电机和一些连接配件组成。此外,机器人的头部具有情感表情,头部具有13个自由度。情感和智能模型是人机交互中最重要的部分之一。为了更好地模拟人的情绪,根据Maslom的需求水平和Siminov的情绪信息,提出了一种机器人的情绪交互模型。这种架构已在我们的智能服务机器人中使用。

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