Research and development of service robot platform based on artificial psychology

被引:0
|
作者
Zhang, Xueyuan [1 ]
Wang, Zhiliang [1 ]
Wang, Fenhua [1 ]
Nagai, Masatake [2 ]
机构
[1] UST Beijing, Sch Informat Engn, Beijing 100083, Peoples R China
[2] Teikyo Univ, Sch Sci & Engn, Tokyo 3208851, Japan
关键词
service robot; control architecture; speech interaction; artificial psychology; emotional facial expression;
D O I
10.1117/12.784521
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
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-83 10 is selected as the PC platform of robot APROS-1, and its primary memory media is CF card. The artris 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 bead 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.
引用
收藏
页数:6
相关论文
共 50 条
  • [41] Design and Research of Edge Layer Service Platform Based on Flexible Service Architecture
    Liu, Shilong
    Zu, Yunxiao
    PROCEEDINGS OF 2019 IEEE 10TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2019), 2019, : 555 - 560
  • [42] Development of an OpenGL based multi-robot simulating platform
    Zhang, Z
    Ma, SG
    Li, B
    Zhang, LP
    Cao, BG
    2004 8TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1-3, 2004, : 1400 - 1405
  • [43] Research on robot path planning based on artificial intelligence algorithm
    Wang, Caixia
    BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2021, 128 : 157 - 157
  • [44] Research on Robot Motion Control based on Artificial Potential Method
    Zhou, GuangBing
    Lei, Huan
    Wu, LiangSheng
    2017 2ND INTERNATIONAL CONFERENCE ON MECHATRONICS AND INFORMATION TECHNOLOGY (ICMIT 2017), 2017, : 434 - 438
  • [45] Application Development Research Based on Android Platform
    Shao Guo-hong
    2014 7TH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION (ICICTA), 2014, : 579 - 582
  • [46] Design and Research of Physical Education Platform Based on Artificial Intelligence
    Ba, Yufeng
    Liu, Zhenfeng
    SCIENTIFIC PROGRAMMING, 2022, 2022
  • [47] Clue mining based on the online gambling intelligent robot customer service platform
    Li, Gang
    INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2023, 14 (02) : 602 - 612
  • [48] Multi-robot resource intelligent cloud service platform based on microservice
    Yin Z.
    Liu J.
    Wang D.
    Zhou J.
    Li X.
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022, 28 (07): : 2102 - 2111
  • [49] Clue mining based on the online gambling intelligent robot customer service platform
    Gang Li
    International Journal of System Assurance Engineering and Management, 2023, 14 : 602 - 612
  • [50] The Research of Service Platform for Agriculture Information Transmission Based on GPRS
    Gao Liang
    Shao Limin
    Qu Ping
    ISTM/2011: 9TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, 2011, : 265 - 268