Robust design for the lower extremity exoskeleton under a stochastic terrain by mimicking wolf pack behaviors

Zhonglai Wang, Shui Yu, Leo Yi Chen, Yun Li

Research output: Contribution to journalArticle

12 Citations (Scopus)
15 Downloads (Pure)

Abstract

While kinematics analysis plays an important role in studying human limb motions, existing methods (namely, direct and inverse kinematics) have their deficiencies. To improve, this paper develops a robust design method using artificial intelligence and applies it to the lower extremity exoskeleton design under a stochastic terrain. An inverse kinematic model is first built considering the impact on human's comfort from the stochastic terrain. Then, a robust design model is constructed based on the inverse kinematic model, where the design framework mimics wolf pack behaviors and the robust design problem is thus solved for keeping probabilistic consistency between the exoskeleton and its wearer. A case study validates the effectiveness of the developed robust method and algorithm, which ensures walking comfort under the stochastic terrain within the validity of simulations.

Original languageEnglish
Pages (from-to)30714-30725
Number of pages12
JournalIEEE Access
Volume6
DOIs
Publication statusPublished - 18 May 2018

Keywords

  • inverse kinematics
  • lower extremity exoskeleton
  • robust design
  • stochastic terrain
  • wolf packs

Fingerprint Dive into the research topics of 'Robust design for the lower extremity exoskeleton under a stochastic terrain by mimicking wolf pack behaviors'. Together they form a unique fingerprint.

  • Cite this