• DocumentCode
    1763844
  • Title

    Robomorphism: A Nonanthropomorphic Wearable Robot

  • Author

    Accoto, D. ; Sergi, F. ; Tagliamonte, N.L. ; Carpino, G. ; Sudano, A. ; Guglielmelli, E.

  • Author_Institution
    Univ. Campus Bio-Med. di Roma, Rome, Italy
  • Volume
    21
  • Issue
    4
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    45
  • Lastpage
    55
  • Abstract
    This article describes a novel wearable robot (WR) intended to assist hip and knee flexion/ extension through series elastic actuators (SEAs). A nonanthropomorphic (NA) design was pursued to improve ergonomics while optimizing dynamic properties through a smart distribution of swinging masses. Once the anthropomorphism constraint is relaxed, the number of possible architectures becomes very high, and a methodology must be defined to point out the best options. To this purpose, a design methodology, which includes a novel approach to kinematic synthesis, topology selection, and morphological optimization, is also presented. The advantages offered by the novel architecture are demonstrated both theoretically and experimentally. In particular, the results show a low reflected inertia on the user´s body, a high backdrivability, and an intrinsic tolerance to misalignments. Such advantages make the proposed robot a promising platform for the development of assistive and rehabilitation systems.
  • Keywords
    actuators; control system synthesis; ergonomics; medical robotics; optimisation; patient rehabilitation; robot kinematics; SEAs; anthropomorphism constraint; assistive systems; ergonomics; hip extension; hip flexion; kinematic synthesis; knee extension; knee flexion; morphological optimization; nonanthropomorphic design; nonanthropomorphic wearable robot; rehabilitation systems; robomorphism; series elastic actuators; topology selection; Actuators; Anthropomorphism; Biomedical equipment; Ergonomics; Hips; Kinematics; Patient rehabilitation; Robot kinematics; Wearable computers; knee;
  • fLanguage
    English
  • Journal_Title
    Robotics & Automation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9932
  • Type

    jour

  • DOI
    10.1109/MRA.2014.2360276
  • Filename
    6990816