• DocumentCode
    651079
  • Title

    A study on methods for improving the straightness of the intelligent walker to move on slope

  • Author

    Won-Young Lee ; Seung-Hyun Lee ; Mun-Suck Jang ; Eung-Hyuk Lee

  • Author_Institution
    Dept. of Electron. Eng., Korea Polytech. Univ., Ansan, South Korea
  • fYear
    2013
  • fDate
    Oct. 30 2013-Nov. 2 2013
  • Firstpage
    536
  • Lastpage
    541
  • Abstract
    This paper suggests linearity enhancement algorithm for slope driving of Intelligent Walker. Intelligent Walker happens to get off track due to external forces from robot´s weight and the degree of the slope while slope driving. In order to compensate this, this research used the controller that estimates the external forces according to the slope of road surface and adjusts it to the motor output. Also, through comparisons between targeted rotational angular velocity which the user inputs and its velocity of the robot, algorithm was applied which applies a weight to each shaft. As a result of applying the proposed correction controller to Intelligent Walker, it diverges in case of non-compensation experiments that deviates when moving, but it case of applying the ramp calibration algorithm, the deviation distance at max was within 5cm that it keeps safe driving, and change rate of deviation distance was also stabilized after 1m where no more changes occurred.
  • Keywords
    assisted living; force control; geriatrics; handicapped aids; human-robot interaction; mobile robots; motion compensation; motion control; deviation distance; elderly people; external force estimation; intelligent walker; linearity enhancement algorithm; motion compensator; noncompensation experiments; ramp calibration algorithm; robot weight; slope degree; slope driving; straightness improvement; Intelligent Walker; Motion Compensator; Slope; Straightness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Robots and Ambient Intelligence (URAI), 2013 10th International Conference on
  • Conference_Location
    Jeju
  • Print_ISBN
    978-1-4799-1195-0
  • Type

    conf

  • DOI
    10.1109/URAI.2013.6677332
  • Filename
    6677332