IEEE Transactions on Neural Systems and Rehabilitation Engineering (Jan 2022)

A Robotic System to Deliver Multiple Physically Bimanual Tasks via Varying Force Fields

  • Mingming Zhang,
  • Chenyang Sun,
  • Yudong Liu,
  • Xinyu Wu

DOI
https://doi.org/10.1109/TNSRE.2022.3158339
Journal volume & issue
Vol. 30
pp. 688 – 698

Abstract

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Individuals with physical limb disabilities are often restricted to perform activities of daily life (ADLs). While efficacy of bilateral training has been demonstrated in improving physical coordination of human limbs, few robots have been developed in simulating people’s ADLs integrated with task-specific force field control. This study sought to develop a bilateral robot for better task rendering of general ADLs (gADLs), where gADL-consistent workspace is achieved by setting linear motors in series, and haptic rendering of multiple bimanual tasks (coupled, uncoupled and semi-coupled) is enabled by regulating force fields between robotic handles. Experiments were conducted with human users, and our results present a viable method of a single robotic system in simulating multiple physically bimanual tasks. In future, the proposed robotic system is expected to be serving as a coordination training device, and its clinical efficacy will be also investigated.

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