Monitoring the state of a ubiquitous robotic system: A fuzzy logic approach

被引:0
|
作者
Guarino, Donatella [1 ]
Saffiotti, Alessandro [2 ]
机构
[1] CNR, CNR, ICAR, Viale Sci, I-90128 Palermo, Italy
[2] Univ Orebro, AASS Mobile Robot Lab, S-70182 Orebro, Sweden
关键词
ambient intelligence; ubiquitous robotics; network robot systems; human-robot interaction; cooperative systems; robot ecology;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A trend is emerging in the fields of ambient intelligence (AmI) and autonomous robotics, which points in the direction of a merger between these two fields. The inclusion of robotic devices in AmI system, sometimes named ubiquitous robotics, makes one of the hard problems in this field even harder: how can we provide a comfortable, natural interface between the everyday user and a complex system which consists of a large multitude of highly heterogeneous devices? In this paper, we address a specific, important aspect of this problem: to monitor the state of the ubiquitous system by the user of the system. The solution that we propose is based on two mechanisms: an expression-based semantics to represent in a uniform way the status of heterogeneous devices; and a common interface point to aggregate the information from all devices into a summary status presented to the user. For both mechanisms, we propose to use the tools of fuzzy logic. We justify this choice by arguments grounded in the semantics and formal properties of fuzzy logic. We also illustrate our approach on a specific type of ubiquitous robotic system called Ecology of Physically Embedded Intelligent Systems, or PEIS-Ecology.
引用
收藏
页码:1902 / +
页数:2
相关论文
共 50 条
  • [41] Monitoring and Classification System of River Water Pollution Conditions with Fuzzy Logic
    Waleed, Khalid A. S.
    Kusuma, Purba Daru
    Setianingsih, Casi
    2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRY 4.0, ARTIFICIAL INTELLIGENCE, AND COMMUNICATIONS TECHNOLOGY (IAICT), 2019, : 112 - 117
  • [42] Expert system for condition monitoring of power transformer using fuzzy logic
    Ranga, Chilaka
    Chandel, Ashwani Kumar
    Chandel, Rajeevan
    JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 2017, 9 (04)
  • [43] A Hybrid Model for Dynamic System Using Fuzzy Logic Approach
    Garcia Benitez, German
    Vera Estrada, Carlos
    CIENCIA ERGO-SUM, 2010, 17 (02) : 165 - 175
  • [44] Supervision for System of Systems Engineering Based on Fuzzy Logic Approach
    Ayala, Gerardo
    2015 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2015, : 2591 - 2596
  • [45] Self-Parking System Based in a Fuzzy Logic Approach
    Cabrera-Cosetl, Roberto
    Zeus Mora-Alvarez, Miguel
    Alejos-Palomares, Ruben
    2009 INTERNATIONAL CONFERENCE ON ELECTRICAL COMMUNICATIONS AND COMPUTERS, 2009, : 119 - +
  • [46] Fuzzy logic approach for airborne gravimeter power system control
    Elkattan, Mohamed
    PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON INNOVATIVE TRENDS IN COMPUTER ENGINEERING (ITCE' 2018), 2018, : 8 - 12
  • [47] Fuzzy logic approach in power system fault section identification
    Chang, CS
    Chen, JM
    Srinivasan, D
    Wen, FS
    Liew, AC
    IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1997, 144 (05) : 406 - 414
  • [48] Fuzzy logic approach to identification of cellular quantity by ultrasonic system
    Yamaguchi, Satoshi
    Nagamune, Kouki
    Oe, Keisuke
    Kobashi, Syoji
    Kondo, Katsuya
    Hata, Yutaka
    GRC: 2007 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING, PROCEEDINGS, 2007, : 636 - +
  • [49] Actuated Hydraulic System Fault Detection: A Fuzzy Logic Approach
    Abou, Seraphin C.
    Kulkarni, Manali
    Stachowicz, Marian
    ENGINEERING LETTERS, 2010, 18 (01)
  • [50] Talent management in manufacturing system using fuzzy logic approach
    Karatop, Buket
    Kubat, Cemalettin
    Uygun, Ozer
    COMPUTERS & INDUSTRIAL ENGINEERING, 2015, 86 : 127 - 136