A novel acceleration profile for the motion control of capsubots

Hongnian Yu, M. Nazmul Huda, Samuel Oliver Wane

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    14 Citations (Scopus)

    Abstract

    In this paper, a novel four-step acceleration profile is proposed for the inner mass (moving part) of a capsubot (capsule robot) system that works on the principle of the internal force-static friction. By using the acceleration profile of the inner mass the capsubot system can move in a given desired direction. Optimum selection of the different parameters of the acceleration profile is investigated considering the design constraints. Comparison of the simulation results with previous proposed profiles demonstrates its superiority. A novel encapsulated capsubot has been developed utilizing the acceleration profile in a self-contained format.

    Original languageEnglish
    Title of host publication 2011 IEEE International Conference on Robotics and Automation (ICRA)
    PublisherIEEE
    Pages2437-2442
    Number of pages6
    ISBN (Electronic)978-1-61284-385-8, 978-1-61284-380-3
    ISBN (Print)978-1-61284-386-5
    DOIs
    Publication statusPublished - 15 Aug 2011
    Event2011 IEEE International Conference on Robotics and Automation, ICRA 2011 - Shanghai, China
    Duration: 9 May 201113 May 2011

    Publication series

    Name
    PublisherIEEE
    ISSN (Print)1050-4729
    ISSN (Electronic)1050-4729

    Conference

    Conference2011 IEEE International Conference on Robotics and Automation, ICRA 2011
    Country/TerritoryChina
    CityShanghai
    Period9/05/1113/05/11

    Keywords

    • Acceleration
    • Force
    • Friction
    • Simulation
    • Propulsion
    • Endoscopes
    • Robots
    • Stiction
    • Acceleration control
    • medical robotics
    • microbots
    • motion control
    • Internal force-static friction
    • acceleration profile
    • capsubot system
    • capsule robot

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Software
    • Artificial Intelligence
    • Electrical and Electronic Engineering

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