English

Personal Mobility With Synchronous Trunk-Knee Passive Exoskeleton: Optimizing Human-Robot Energy Transfer

Robotics 2022-12-15 v1 Systems and Control Systems and Control Applied Physics

Abstract

We present a personal mobility device for lower-body impaired users through a light-weighted exoskeleton on wheels. On its core, a novel passive exoskeleton provides postural transition leveraging natural body postures with support to the trunk on sit-to-stand and stand-to-sit (STS) transitions by a single gas spring as an energy storage unit. We propose a direction-dependent coupling of knees and hip joints through a double-pulley wire system, transferring energy from the torso motion towards balancing the moment load at the knee joint actuator. Herewith, the exoskeleton maximizes energy transfer and the naturalness of the user's movement. We introduce an embodied user interface for hands-free navigation through a torso pressure sensing with minimal trunk rotations, resulting on average 19±1319^{\circ} \pm 13^{\circ} on six unimpaired users. We evaluated the design for STS assistance on 11 unimpaired users observing motions and muscle activity during the transitions. Results comparing assisted and unassisted STS transitions validated a significant reduction (up to 68%68\% p<0.01p<0.01) at the involved muscle groups. Moreover, we showed it feasible through natural torso leaning movements of +12±6.5+12^{\circ}\pm 6.5^{\circ} and 13.7±6.1- 13.7^{\circ} \pm 6.1^{\circ} for standing and sitting, respectively. Passive postural transition assistance warrants further work on increasing its applicability and broadening the user population.

Keywords

Cite

@article{arxiv.2201.03374,
  title  = {Personal Mobility With Synchronous Trunk-Knee Passive Exoskeleton: Optimizing Human-Robot Energy Transfer},
  author = {Diego Paez-Granados and Hideki Kadone and Modar Hassan and Yang Chen and Kenji Suzuki},
  journal= {arXiv preprint arXiv:2201.03374},
  year   = {2022}
}

Comments

IEEE/ASME Transactions on Mechatronics. 2022. 11 pages. doi: 10.1109/TMECH.2021.3135453

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