skip to main content
10.1145/3207677.3278020acmotherconferencesArticle/Chapter ViewAbstractPublication PagescsaeConference Proceedingsconference-collections
research-article

Fuzzy Cognition Map Based Data Processing Technology for Robot Sensor Suit

Published:22 October 2018Publication History

ABSTRACT

In1 order to minimize signal crosstalk, system noise and random noise interference and pseudo signals in the tactile sensing array to obtain high precision surface profile estimation, this paper explored the data processing technology of robot tactile sensing suit based on fuzzy cognition map. In the paper, it discussed the structure, the modeling process and steps of fuzzy cognition map, made the anatomy of the shape of an object's surface contour recognition, and researched on the algorithm description of cognition map of robot tactile suit and the implementation of tactile sensing data processing. The simulation experiment would be simple and clear to verify the force condition of each sensing point and the distribution profile of different pressure range and the distribution and size of pressure peak. The research results show that the proposed design solution is reasonable feasible for data processing of robot sensor suit.

References

  1. Ma Nan, Yang Bing-ru, and Bao Hong, et al. 2011. Research on Progress of Fuzzy Cognitive Map. Computer Science, 38, 10(2011), 23--28.Google ScholarGoogle Scholar
  2. Zhang Yan-li. 2012. The Modeling and Control of Dynamic System Based on Fuzzy Cognitive Maps. Ph.D. Dissertation. Dalian University of Technology, Dalian.Google ScholarGoogle Scholar
  3. Peng Zhen, Tian Lio-qin, and Wu Jing, et al. 2013. Research on Complex System Modeling and Reasoning Based on Large Fuzzy Cognitive Map. Computer Science, 40, 6(2013), 203--205.Google ScholarGoogle Scholar
  4. Guo Bing. 2010. Study on Intelligent Robot Sensing Suit and Its Data Processing. Ph.D. Dissertation. Chongqing University, Chongqing.Google ScholarGoogle Scholar
  5. Pei Li-qiang. 2011. Research on Real-time Acquisition and Processing method of Tactile Information of Intelligent Robot Sensing Suit. Ph.D. Dissertation. Chongqing University, Chongqing.Google ScholarGoogle Scholar
  6. Wang Xun. 2014. Research on Data Acquisition System of Non-uniform Tactile Sensor Array. Ph.D. Dissertation. Chongqing University, Chongqing.Google ScholarGoogle Scholar
  7. Li Hui, Chen Hongqian, and Ma Liyi, et al. 2016. A Review of Algorithm Improvement and Application of Fuzzy Cognitive Map. Journal of Nanjing university (Natural Science), 52, 4(2016), 746--761.Google ScholarGoogle Scholar
  8. Qin Lan, Li Qing, and Sun Xian-kui. 2006. Research on New Tactile Sensing Costume of Intelligent Robots. Chinese Journal of Sensors and Actuators, 19, 3(2006), 824--827.Google ScholarGoogle Scholar
  9. Guo Bing, Qin Lan, and Deng Da-qiang. 2007. Cognitive Map Based Data Processing Method for Robot Tactile Sensor Suit. Journal of Zhejiang University (Engineering Science), 41, 10(2007), 1633--1636.Google ScholarGoogle Scholar

Index Terms

  1. Fuzzy Cognition Map Based Data Processing Technology for Robot Sensor Suit

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      CSAE '18: Proceedings of the 2nd International Conference on Computer Science and Application Engineering
      October 2018
      1083 pages
      ISBN:9781450365123
      DOI:10.1145/3207677

      Copyright © 2018 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 October 2018

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

      Acceptance Rates

      CSAE '18 Paper Acceptance Rate189of383submissions,49%Overall Acceptance Rate368of770submissions,48%
    • Article Metrics

      • Downloads (Last 12 months)1
      • Downloads (Last 6 weeks)0

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader