4.7 Article

Optimum kinematic design of a planar cable-driven parallel robot with wrench-closure gait trajectory

期刊

MECHANISM AND MACHINE THEORY
卷 99, 期 -, 页码 1-18

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.mechmachtheory.2015.12.009

关键词

Gait rehabilitation; Parallel robot; Cable-driven; Planar; Trajectory; Wrench-closure

资金

  1. National Research Foundation Korea (NRF) [2012-0009524, 2014R1A2A1A11053989]
  2. Technology Development Project for Advancement of NIPA SW Convergence Technology and Dual Use Technology Program of Civil and Military
  3. National Research Foundation of Korea [2014R1A2A1A11053989, 2012-0009524] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

We report the design of a planar cable-driven parallel robot with four cables. The design can generate a wrench-closure trajectory of the lower limb, shank, with applications in gait rehabilitation. Using such a design, any external wrench on the target limb can be balanced using cables for all poses of the limb near to the trajectory in the gait cycle. We calculate the largest wrench-closure circular zone centered at an arbitrary point of the trajectory for a given range of orientations around a reference orientation of the limb. Taking the area of such zones into account for a set of points on a given trajectory, we optimize the robot kinematics with fixed cable attachment points. However, static evaluation of the robot in the trajectory indicates that, in some part of the trajectory, a general extemal wrench cannot be balanced. Therefore, a reconfigurable design of the robot is investigated in which the cable attachment points on the base can move with respect to the motion of the limb in its trajectory. The area of wrench-closure zones in the trajectory can be increased using different actuation schemes, which are obtained and compared. Finally, a redundant reconfigurable robot with an optimum wrench-closure gait trajectory is proposed. (c) 2016 Elsevier Ltd. All rights reserved.

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